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| last_modified
timestamp[us, tz=UTC]date 2020-02-15 11:33:14
2025-08-30 00:39:23
| downloads
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223M
| likes
int64 0
11.7k
| library_name
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4.05k
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zuruyu/instance-name
|
zuruyu
| 2023-05-16T09:43:40Z | 5 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-07T01:58:46Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### {INSTANCE_NAME} Dreambooth model trained by zuruyu with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook
Build your own using the [AI Avatar project](https://buildspace.so/builds/ai-avatar)!
To get started head over to the [project dashboard](https://buildspace.so/p/build-ai-avatars).
Sample pictures of this concept:
|
tftgregrge/mpid-hassanblend-v1-5-better-train-3000
|
tftgregrge
| 2023-05-16T09:43:36Z | 35 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-07T01:03:42Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### mpid-hassanblend-v1.5-better-train-3000 Dreambooth model trained by tftgregrge with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
tftgregrge/mpid-hassanblend-better-train
|
tftgregrge
| 2023-05-16T09:43:26Z | 35 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-06T12:08:56Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### mpid-hassanblend-better-train Dreambooth model trained by tftgregrge with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
jamesspanx/test
|
jamesspanx
| 2023-05-16T09:43:20Z | 38 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-05T21:48:59Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### test Dreambooth model trained by jamesspanx with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
bhaski/yoomyiamges
|
bhaski
| 2023-05-16T09:43:18Z | 39 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-05T16:14:31Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### YooMyIamges Dreambooth model trained by bhaski with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
birdaz/mizuki
|
birdaz
| 2023-05-16T09:43:17Z | 12 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-05T13:18:15Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### MIZUKI Dreambooth model trained by birdaz with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
cdefghijkl/ap
|
cdefghijkl
| 2023-05-16T09:43:15Z | 71 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-05T11:52:09Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ap Dreambooth model trained by cdefghijkl with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
eicu/huggingface-jsjessy-1400-with-env
|
eicu
| 2023-05-16T09:43:12Z | 33 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-05T00:52:21Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: jsjessy
---
### huggingface-jsjessy-1400-with-env Dreambooth model trained by eicu with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
jsjessy (use that on your prompt)
|
dogeplusplus/jaffa-cake
|
dogeplusplus
| 2023-05-16T09:43:06Z | 33 | 6 |
diffusers
|
[
"diffusers",
"pytorch",
"stable-diffusion",
"text-to-image",
"diffusion-models-class",
"dreambooth-hackathon",
"food",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-04T23:52:43Z |
---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- food
widget:
- text: a photo of a jaffa cake
---
# DreamBooth model for the jaffa concept trained by dogeplusplus on some images of jaffa cakes.
This is a Stable Diffusion model fine-tuned on the jaffa concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of a jaffa cake**
This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
## Description
| Stable Diffusion v1-4 | Dreambooth Jaffa |
| -- | -- |
|  |  |
Generate images of jaffa cakes in different contexts and art styles:
| ukiyo-e | picasso | rembrandt |
| -- | -- | -- |
|  |  |  |
| **van gogh** | **warhol** | **dali** |
|  |  |  |
## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('dogeplusplus/jaffa-cake')
image = pipeline().images[0]
image
```
|
Romecr/merryx
|
Romecr
| 2023-05-16T09:43:04Z | 31 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-04T20:55:32Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### merryx Dreambooth model trained by Romecr with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
eicu/fastbooth-jsjessy-1400
|
eicu
| 2023-05-16T09:43:02Z | 33 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-04T20:25:40Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### fastbooth-jsjessy-1400 Dreambooth model trained by eicu with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
eicu/fastbooth-jsjessy-950
|
eicu
| 2023-05-16T09:42:59Z | 36 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-04T19:37:37Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### fastbooth-jsjessy-950 Dreambooth model trained by eicu with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
nuigurumi/basil_mix
|
nuigurumi
| 2023-05-16T09:42:46Z | 2,312 | 977 |
diffusers
|
[
"diffusers",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-04T07:45:22Z |
---
license: other
---
## Model Description
- merged model.
- realistic texture and Asian face.
- designed to maintain a responsive reaction to danbooru based prompts.
## License
- This model and its derivatives(image, merged model) can be freely used for non-profit purposes only.
- You may not use this model and its derivatives on websites, apps, or other platforms where you can or plan to earn income or donations. If you wish to use it for such purposes, please contact nuigurumi.
- Introducing the model itself is allowed for both commercial and non-commercial purposes, but please include the model name and a link to this repository when doing so.
- このモデル及びその派生物(生成物、マージモデル)は、完全に非営利目的の使用に限り、自由に利用することができます。
- あなたが収入や寄付を得ることのできる、もしくは得る予定のWebサイト、アプリ、その他でこのモデル及びその派生物を利用することはできません。利用したい場合は[nuigurumi](https://twitter.com/nuigurumi1_KR)に連絡してください。
- モデル自体の紹介することは、営利非営利を問わず自由です、その場合はモデル名と当リポジトリのリンクを併記してください。
- check [License](https://huggingface.co/nuigurumi/basil_mix/blob/main/License.md)
_読むのめんどくさい人向け
商用利用をすべて禁止します。fanboxやpatreonなどの支援サイトでの使用も全て禁止します。
マージモデル(cilled_re...とか)も派生物なので商用利用禁止になります。 商用利用をしたいなら私に連絡してください。
どこかでモデルを紹介していただけるなら、リンクも併記してくれると嬉しいです。_
# Gradio
We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run basil_mix:
[](https://huggingface.co/spaces/akhaliq/basil_mix)
## Recommendations
- VAE: [vae-ft-mse-840000](https://huggingface.co/stabilityai/sd-vae-ft-mse-original) from StabilityAI
- Prompting: Simple prompts are better. Large amounts of quality tags and negative prompts can have negative effects.
|
Spiltcokesf/samantha
|
Spiltcokesf
| 2023-05-16T09:42:40Z | 36 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-03T23:37:46Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### samantha Dreambooth model trained by Spiltcokesf with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
birdaz/hitomi
|
birdaz
| 2023-05-16T09:42:27Z | 34 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-03T15:57:10Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### hitomi Dreambooth model trained by birdaz with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
Yastreb/anilin123
|
Yastreb
| 2023-05-16T09:42:20Z | 30 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-02T23:28:08Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### anilin123 Dreambooth model trained by Yastreb with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
zigg-ai/tomscott
|
zigg-ai
| 2023-05-16T09:42:16Z | 33 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-02T16:48:02Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### tomscott Dreambooth model trained by zigg-ai with with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdcid (use that on your prompt)
|
sd-dreambooth-library/oriblind
|
sd-dreambooth-library
| 2023-05-16T09:42:15Z | 67 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-02T15:40:04Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### oriblind Dreambooth model trained by apurik-parv with [Shivamshri rao's DreamBooth implementation]
Instance prompt:**oriblind**
The model is trained on ori and the blind forest artworks for 60000 steps in an attempt to recreate eye popping colors and style of those images.
Feel free to experiment with it.
|
hr16/kanianime-finetune
|
hr16
| 2023-05-16T09:42:13Z | 32 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-02T14:33:20Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
Phiên bản diffusers của model Kanianime của https://huggingface.co/Rasgeath. Đây là một base model tốt để finetune hoặc train Textual Inversion, DreamBooth style anime
Diffusers version of https://huggingface.co/Rasgeath's Kanianime model. This is good anime-style base model to finetune or create Textual Inversion, Dreambooth fine-tuning
|
zigg-ai/simomegrietz
|
zigg-ai
| 2023-05-16T09:42:09Z | 31 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-02T13:39:02Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### simomegrietz Dreambooth model trained by zigg-ai with with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdcid (use that on your prompt)
|
koankoan/mf-doomfusion-1-5
|
koankoan
| 2023-05-16T09:41:58Z | 34 | 1 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-01T10:44:45Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: doomfusion
---
### MF Doomfusion 1.5 Dreambooth model trained by koankoan with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
doomfusion (use that on your prompt)
|
Dascer/albahi
|
Dascer
| 2023-05-16T09:41:56Z | 42 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2023-01-01T02:13:04Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### albahi Dreambooth model trained by Dascer with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
tacoz/eggz
|
tacoz
| 2023-05-16T09:41:51Z | 49 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-31T21:37:14Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### eggz Dreambooth model trained by tacoz with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
lobabobloblaw/Imperial-Diffusion
|
lobabobloblaw
| 2023-05-16T09:41:47Z | 59 | 1 |
diffusers
|
[
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"safetensors",
"en",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-31T02:21:55Z |
---
language:
- en
thumbnail: "https://huggingface.co/lexaprosaic/Imperial-Diffusion/blob/main/282D6868-546F-4841-B8DC-D12BBD54E52A.jpeg"
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
- diffusers
inference: true
---
This is a preliminary model based on the famous collection of images taken by Sergei Prokudin-Gorskii, also known as the oldest and most comprehensive set of color photography known to exist. They were taken between the years of 1909 and 1915 in pre-revolutionary Russia, and offer a glimpse into the past that few other datasets can claim.
- Based on sd 1.5 fork
- Dataset consists of 1,277 pre-composited 512px images extracted from the Library of Congress public access portal
- Trained on an A100 GPU for six hours at 2000 step epochs
- Finetuned with large-scale EveryDream yaml
|
duja1/tovebw
|
duja1
| 2023-05-16T09:41:45Z | 39 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-30T22:45:30Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: t123ovebw
---
### tovebw Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
t123ovebw (use that on your prompt)
|
abdalrahmanshahrour/text-to-image-v2
|
abdalrahmanshahrour
| 2023-05-16T09:41:36Z | 48 | 3 |
diffusers
|
[
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-30T11:10:50Z |
---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
inference: true
---
|
jordansoftware/fof
|
jordansoftware
| 2023-05-16T09:41:33Z | 6 | 0 |
diffusers
|
[
"diffusers",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-30T01:33:12Z |
---
license: creativeml-openrail-m
---
This repo is for testing the first Openjourney fine tuned model.
It was trained over Stable Diffusion 1.5 with +60000 images, 4500 steps and 3 epochs.
So "mdjrny-v4 style" is not necessary anymore (yay!)
Things to check in this beta:
- Is the quality better that the [Dreambooth version](https://huggingface.co/prompthero/openjourney)?
|
Eyuel/wolde-eyu-5120512
|
Eyuel
| 2023-05-16T09:41:24Z | 31 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-28T22:34:35Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### wolde_eyu_5120512 Dreambooth model trained by Eyuel with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
rkcr7/rkcrk
|
rkcr7
| 2023-05-16T09:41:22Z | 29 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"doi:10.57967/hf/0273",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-28T20:28:51Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### -rkcrk Dreambooth model trained by rkcr7 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Sample pictures of this concept:
|
mm00/anything-v3.0-light
|
mm00
| 2023-05-16T09:41:20Z | 122 | 5 |
diffusers
|
[
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-28T19:35:43Z |
---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: Linaqruf/anything-v3.0
---
# INFO
This repo was made for easy usage for dreambooth training, I've elimnated all the .ckpt, which are not used in Diffusers.
This should speed up setup considerably.
# Anything V3
Welcome to Anything V3 - a latent diffusion model for weebs. This model is intended to produce high-quality, highly detailed anime style with just a few prompts. Like other anime-style Stable Diffusion models, it also supports danbooru tags to generate images.
e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_**
## Gradio
We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run Anything-V3.0:
[Open in Spaces](https://huggingface.co/spaces/akhaliq/anything-v3.0)
## 🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
```python
from diffusers import StableDiffusionPipeline
import torch
model_id = "Linaqruf/anything-v3.0"
branch_name= "diffusers"
pipe = StableDiffusionPipeline.from_pretrained(model_id, revision=branch_name, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "pikachu"
image = pipe(prompt).images[0]
image.save("./pikachu.png")
```
## Examples
Below are some examples of images generated using this model:
**Anime Girl:**
```
1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden
Steps: 50, Sampler: DDIM, CFG scale: 12
```
**Anime Boy:**
```
1boy, medium hair, blonde hair, blue eyes, bishounen, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden
Steps: 50, Sampler: DDIM, CFG scale: 12
```
**Scenery:**
```
scenery, shibuya tokyo, post-apocalypse, ruins, rust, sky, skyscraper, abandoned, blue sky, broken window, building, cloud, crane machine, outdoors, overgrown, pillar, sunset
Steps: 50, Sampler: DDIM, CFG scale: 12
```
## License
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
|
zigg-ai/unnecessaryinventions
|
zigg-ai
| 2023-05-16T09:41:16Z | 29 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-28T15:27:45Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### unnecessaryinventions Dreambooth model trained by zigg-ai with with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdcid (use that on your prompt)
|
Xeronate/sgryzaa
|
Xeronate
| 2023-05-16T09:41:09Z | 24 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-28T08:03:35Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### sgryzaa Dreambooth model trained by Xeronate with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
tzvc/375132eb-61b1-49ec-83f3-04676640d6c9
|
tzvc
| 2023-05-16T09:40:56Z | 34 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-27T13:30:26Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### 375132eb-61b1-49ec-83f3-04676640d6c9 Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdcid (use that on your prompt)
|
lunarfish/furrydiffusion
|
lunarfish
| 2023-05-16T09:40:51Z | 144 | 57 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"furry",
"anything-v3.0",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-26T23:17:54Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- furry
- anything-v3.0
---
FurryDiffusion is a model made to generate furry art, this model is very much in beta still and will keep improoving! To use this please make sure to include `furry` in your prompt and to make a specific breed add the breed name only.
Example Prompts:
```
Positive: highres, furry, fox, orange fur, blue eyes
Negative: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, blurry
```
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
**NOTE**: Its better to run it in Google Colab since you can use google's powerful gpu's for free. Go ahead try it now!
|
duja1/boys
|
duja1
| 2023-05-16T09:40:49Z | 18 | 1 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-26T22:00:58Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: b123oy
---
### boys Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
b123oy (use that on your prompt)
|
hrho/repo_name
|
hrho
| 2023-05-16T09:40:48Z | 0 | 0 | null |
[
"ko",
"license:apache-2.0",
"region:us"
] | null | 2023-05-16T09:39:07Z |
---
license: apache-2.0
language:
- ko
---
|
sd-dreambooth-library/enasswhidaly
|
sd-dreambooth-library
| 2023-05-16T09:40:47Z | 35 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-26T20:34:25Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Enasswhidaly Dreambooth model trained by WALIDALI with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
tzvc/sd-bib
|
tzvc
| 2023-05-16T09:40:45Z | 35 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-26T19:43:30Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdbib
---
### sd-bib Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdbib (use that on your prompt)
|
BryanBizzAI/brunoo
|
BryanBizzAI
| 2023-05-16T09:40:43Z | 38 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-26T18:25:36Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Brunoo Dreambooth model trained by BryanBizzAI with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
hurricane18/shanmukh
|
hurricane18
| 2023-05-16T09:40:37Z | 37 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-26T16:10:54Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### shanmukh Dreambooth model trained by hurricane18 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
|
duja1/ismo
|
duja1
| 2023-05-16T09:40:30Z | 39 | 1 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-25T23:47:51Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: i123smo
---
### Ismo Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
i123smo (use that on your prompt)
|
NickKolok/f222_1
|
NickKolok
| 2023-05-16T09:40:28Z | 29 | 1 |
diffusers
|
[
"diffusers",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-25T22:33:08Z |
Just for beauty. Be careful!
---
pipeline_tag: "text-to-image"
---
|
koonoo/rovio
|
koonoo
| 2023-05-16T09:40:20Z | 30 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-25T10:40:16Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### rovio Dreambooth model trained by koonoo with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
admruul/hassan
|
admruul
| 2023-05-16T09:40:16Z | 21 | 1 |
diffusers
|
[
"diffusers",
"stable-diffusion",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-25T09:51:33Z |
---
title: Hassanblend1.4
emoji: 📚
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 3.11.0
app_file: app.py
pinned: false
thumbnail: https://i.imgur.com/PVThZvk.png
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
inference: true
duplicated_from: hassanblend/hassanblend1.4
---
# HassanBlend1.4
I am hassan, I created HassansBlend, the latest version currently is 1.4. I continue to iterate and improve on this model over time. Feel free to check out our discord or rentry page for more examples with prompts and outputs generated.
I have also some custom created content such as enhancement hypernetworks/embeddings etc for patreons or KoFi subscribers only on my pages below
<b> Links </b><br>
<b>Patreon</b>
<a href="https://www.patreon.com/sd_hassan" target="_blank"><img src="https://i.imgur.com/sR32SqJ.jpg"></img></a>
<b>KoFi</b>
<a href="https://ko-fi.com/sdhassan" target="_blank"><img src="https://i.imgur.com/0P7CTN4.png"></img></a>
<b>Discord</b>
<a href="https://discord.gg/sdmodelers" target="_blank"><img src="https://i.imgur.com/HC1iHwg.png"></img></a>
### Quicklinks:
* [Latest Setup](https://rentry.org/sdhassan#current-setup)
* [HassanBlend Model Finetune Updates](https://rentry.org/sdhassan#hassanblend-finetuning-updates)
* [Latest Patreon Posts](https://rentry.org/sdhassan#patreon-posts)
* [Models](https://rentry.org/sdhassan#merged-models)
* [HassanBlend1.4](https://rentry.org/sdhassan#hassanblend14-downloads)
* [Prompts](https://rentry.org/sdhassan#prompts)
* [Photorealistic Tips](https://rentry.org/sdhassan#tips-for-photorealistic-images)
* [Embeddings](https://rentry.org/sdhassan#embeddings)
* [Hypernetworks](https://rentry.org/sdhassan#hypernetworks)
* [Wildcards](https://rentry.org/sdhassan#wildcards-i-made)
* [MyTools](https://rentry.org/sdhassan#my-tools)
* [Settings I use](https://rentry.org/sdhassan#settings)
Model details and examples with sample prompts: https://rentry.org/sdhassan
# Gradio Demo
We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run hassanblend1.4:
[](https://huggingface.co/spaces/akhaliq/hassanblend1.4)
## License
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
|
kukuhtw/ganjarpranowo
|
kukuhtw
| 2023-05-16T09:40:12Z | 50 | 2 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-24T17:35:39Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
Model Trained by (https://linktr.ee/kukuhtw) using fast-dreambooth (https://github.com/TheLastBen/fast-stable-diffusion)
<b>use keyword prompt</b> : 👉👉👉 <b><i>ganjarpranowo</i></b> 👈👈👈
<b>sample prompt below this :</b>
<i>ganjarpranowo digital painting, highly detailed, intricate, 3d model, unreal engine realistic render, 8 k, micro detail, intricate, elegant, highly detailed, centered, digital painting, artstation, smooth, sharp focus, illustration, artgerm, tomasz alen kopera, wlop</i>
<i>ganjarpranowo 3d model, unreal engine realistic render, 8 k, micro detail, intricate, elegant, highly detailed, centered, digital painting, artstation, smooth, sharp focus, illustration, artgerm, tomasz alen kopera, wlop</i>
<i>portrait of ganjarpranowo headshot by mucha, sharp focus, elegant, render, octane, detailed, award winning photography, masterpiece, trending artstation</i>
<i>portrait of ganjarpranowo wearing white uniform , trending artstation</i>
<i>portrait of smiling male ganjarpranowo, GTA cover, photo realistic, highly detailed, perfect face, art by artgerm</i>
<i>portrait of ganjarpranowo wearing casual shirt, digital painting</i>
<i>portrait of ganjarpranowo style pencil sketch</i>
<i>ganjarpranowo , ultra detailed, brush strokes, digital painting, cinematic, wlop artstation, closeup, pixiv, intense, joyful glare, photorealistic, overpowering, makoto shinkai, rossdraws, andy warhol</i>
<i>portrait of a happy ganjarpranowo gentleman , male, cheerful, detailed face, 21th century, highly detailed, cinematic lighting, digital art painting by greg rutkowski</i>
<i>ganjarpranowo as a character from pixar, au naturel, PS2, PS1, hyper detailed, digital art, trending in artstation, cinematic lighting, studio quality, smooth render, unreal engine 5 rendered, octane rendered, art style by klimt and nixeu and ian sprigger and wlop and krenz cushart.</i>
Sample results pictures of this concept:
Note :
The image that was created may not be satisfactory, so repeat the process until you get a satisfactory result. You can also customize the text prompt according to your creativity.
https://ratakan.com/product/clip-art-ganjar-pranowo-EAA
https://kukuhtw.gumroad.com/l/oxyuv
|
sd-dreambooth-library/bekiksriii
|
sd-dreambooth-library
| 2023-05-16T09:39:58Z | 41 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-23T19:25:20Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### bekiksriii Dreambooth model trained by WALIDALI with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
Extr/mustafa-kemal-ataturkv2
|
Extr
| 2023-05-16T09:39:56Z | 8 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-23T19:09:57Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Mustafa_Kemal_Ataturkv2 Dreambooth model trained by Extraphy with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
Joeythemonster/arcane-diffusion-me
|
Joeythemonster
| 2023-05-16T09:39:54Z | 57 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-23T18:29:41Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ARCANE-DIFFUSION-ME Dreambooth model trained by Joeythemonster with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
tzvc/8f6b362c-26c3-4c26-9e7f-2b8ff6ef353e
|
tzvc
| 2023-05-16T09:39:51Z | 30 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-23T14:41:09Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### 8f6b362c-26c3-4c26-9e7f-2b8ff6ef353e Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdcid (use that on your prompt)
|
bbugaev/louferrignoherculesbw2
|
bbugaev
| 2023-05-16T09:39:49Z | 29 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-23T12:33:24Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### LouFerrignoHerculesBW2 Dreambooth model trained by bbugaev with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
koankoan/SBF-diffusion
|
koankoan
| 2023-05-16T09:39:48Z | 46 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-23T07:32:59Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: SBF
---
### SBF Diffusion Dreambooth model trained by koankoan with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
SBF (use that on your prompt)
|
alvations/mt5-aym-lex-try
|
alvations
| 2023-05-16T09:39:48Z | 108 | 0 |
transformers
|
[
"transformers",
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text2text-generation
| 2023-05-16T09:11:10Z |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-aym-lex-try
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5-aym-lex-try
This model is a fine-tuned version of [alvations/mt5-aym-lex](https://huggingface.co/alvations/mt5-aym-lex) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2781
- Chrf: 15.5602
- Bleu: 0.7538
- Gen Len: 19.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
| 0.2183 | 0.0 | 20 | 0.3002 | 16.5098 | 0.7277 | 19.0 |
| 0.1911 | 0.01 | 40 | 0.2852 | 16.9826 | 0.7635 | 19.0 |
| 0.2366 | 0.01 | 60 | 0.2800 | 15.7077 | 0.7476 | 19.0 |
| 0.1941 | 0.02 | 80 | 0.2785 | 15.5602 | 0.7538 | 19.0 |
| 0.1991 | 0.02 | 100 | 0.2781 | 15.5602 | 0.7538 | 19.0 |
### Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
|
Babivill/leidirocha
|
Babivill
| 2023-05-16T09:39:41Z | 35 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-22T19:58:20Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: leidirocha
---
### leidirocha Dreambooth model trained by Babivill with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
leidirocha (use that on your prompt)
|
KeaponLaffin/tippy
|
KeaponLaffin
| 2023-05-16T09:39:40Z | 30 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-22T18:53:31Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Tippy Dreambooth model trained by KeaponLaffin with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
sztanki/white-walker-style
|
sztanki
| 2023-05-16T09:39:37Z | 29 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-22T18:25:32Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: white
---
### white-walker-style Dreambooth model trained by sztanki with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
white (use that on your prompt)
|
kukuhtw/kukuhtw-person
|
kukuhtw
| 2023-05-16T09:39:32Z | 35 | 3 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-22T18:12:55Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
(https://linktr.ee/kukuhtw)
Model Trained by (https://linktr.ee/kukuhtw) using fast-dreambooth (https://github.com/TheLastBen/fast-stable-diffusion)
use keyword : <i>male kukuhtw person</i>
sample prompt :
<i>portrait of male kukuhtw person style studio ghibli</i>
<i>male kukuhtw person . 3d model, unreal engine realistic render, 8 k, micro detail, intricate, elegant, highly detailed, centered, digital painting, artstation, smooth, sharp focus, illustration, artgerm, tomasz alen kopera, wlop</i>
<i>portrait of smiling joy male kukuhtw person, digital painting, highly detailed, intricate, 3d model, unreal engine realistic render, 8 k, micro detail, intricate, elegant, highly detailed, centered, digital painting, artstation, smooth, sharp focus, illustration, artgerm, tomasz alen kopera, wlop</i>
<i>portrait of male kukuhtw person in style pixar disney</i>
<i>portrait of male kukuhtw person by greg rutkowski, trending artstation</i>
<i>portrait of male kukuhtw person in style comic dc</i>
<i>portrait of male kukuhtw person in marvel universe</i>
<i>portrait of male kukuhtw-person , low poly, colorfull</i>
<i>portrait of male kukuhtw person in water oil made by davinci</i>
<i>portrait of male kukuhtw person in water oil made by picasso</i>
<i>A detailed portrait of young male kukuhtw-person illustrator, by justin gerard and greg rutkowski, digital art, realistic painting, dnd, character design, trending on artstation</i>
<i>young male laughing kukuhtw person style yoji-shinkawa</i>
<i>male kukuhtw person, portrait painting by richard schmid, edgar maxence, kehinde wiley, thomas moran, maxfield parrish, studio ghibli, loish, alphonse mucha, fashion photography </i>
<i>portrait of male kukuhtw, photo realistic, highly detailed, perfect face, art by artgerm </i>
<i>kukuhtw as a character from pixar, au naturel, PS2, PS1, hyper detailed, digital art, trending in artstation, cinematic lighting, studio quality, smooth render, unreal engine 5 rendered, octane rendered, art style by klimt and nixeu and ian sprigger and wlop and krenz cushart.</i>
Sample Results of this concept:
.jpeg)
|
lazzdw/fatyoshi
|
lazzdw
| 2023-05-16T09:39:30Z | 5 | 7 |
diffusers
|
[
"diffusers",
"tensorboard",
"pytorch",
"stable-diffusion",
"text-to-image",
"diffusion-models-class",
"dreambooth-hackathon",
"wildcard",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-22T16:50:22Z |
---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- wildcard
widget:
- text: fatchonkyyoshi, by van gogh
---
# DreamBooth model for fatchonkyyoshi trained by lazzdw on the lazzdw/fatyoshi-dreambooth-hackathon-images dataset.
This is a Stable Diffusion model fine-tuned on the fatchonkyyoshi concept with DreamBooth. It can be used by modifying the `instance_prompt`: **fatchonkyyoshi**
This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
## Description
This is a Stable Diffusion model fine-tuned on `fatyoshi` images for the wildcard theme. Fat Yoshi is also known as Big Yoshi. Inspired by one of my favourite playlists https://www.youtube.com/watch?v=g9gHC2quF3A. Go check it out 😊
## Images generated by model
<img src=https://i.imgur.com/hfjc5mT.jpg width=60% height=60%>
## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('lazzdw/fatyoshi')
image = pipeline().images[0]
image
```
|
tzvc/hilleli
|
tzvc
| 2023-05-16T09:39:28Z | 37 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-22T12:22:39Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### hilleli Dreambooth model trained by tzvc with the v1-5 base model
Sample pictures of:
sdcid (use that on your prompt)
|
Joeythemonster/test
|
Joeythemonster
| 2023-05-16T09:39:24Z | 43 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-22T07:01:36Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### test_ Dreambooth model trained by Joeythemonster with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
duja1/roy
|
duja1
| 2023-05-16T09:39:16Z | 37 | 1 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-21T13:32:12Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: r123oy
---
### Roy Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
r123oy (use that on your prompt)
|
sd-dreambooth-library/rage3
|
sd-dreambooth-library
| 2023-05-16T09:39:09Z | 14 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-21T03:59:10Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### rage3 Dreambooth model trained by aross3 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
avuhong/DB_Hokusai_style
|
avuhong
| 2023-05-16T09:39:02Z | 14 | 8 |
diffusers
|
[
"diffusers",
"pytorch",
"stable-diffusion",
"text-to-image",
"diffusion-models-class",
"dreambooth-hackathon",
"landscape",
"classical-art",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-20T22:40:53Z |
---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- landscape
- classical-art
widget:
- text: a painting in $M## style of a fishing village under a cherry blossom forest at sunset
---
# DreamBooth model for the painting of Hokusai style
This is a Stable Diffusion model fine-tuned Hokusai's painting style taught to Stable Diffusion with DreamBooth.
It can be used by modifying the `instance_prompt`: **a painting in $M## style of**
This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
## Description
This is a Stable Diffusion model fine-tuned on Hokusai's paintings, a Japanese artist from the Edo period (1760-1849). The AI model used to create these works was primarily trained on Hokusai's most famous series of woodblock prints, called the Thirty-Six Views of Mount Fuji including the iconic The Great Wave off Kanagawa.
## Examples
Since it's more for landscape painting, the image size matters. I found that 512*1024 normally gave interesting results.
Check out this gallery for more generated images:
https://www.vuhongai.com/classicalart-ai
## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('avuhong/DB_Hokusai_style')
prompt = "a painting in $M## style of a fishing village under a cherry blossom forest at sunset"
image = pipe(prompt,
num_inference_steps=200,
guidance_scale=5,
height=512, width=1024,
).images[0]
image
```
|
ariciano/selestu
|
ariciano
| 2023-05-16T09:39:00Z | 22 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-20T20:31:25Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### SeleStu Dreambooth model trained by ariciano with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
tftgregrge/wedadams-sxd
|
tftgregrge
| 2023-05-16T09:38:52Z | 23 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-20T17:27:33Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### wedadams-SXD Dreambooth model trained by tftgregrge with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
.jpg)
|
cobraxx/testme
|
cobraxx
| 2023-05-16T09:38:46Z | 22 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-20T12:51:37Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### maherkou Dreambooth model trained by cobraxx with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
AILifeHacks/tmbmomdog
|
AILifeHacks
| 2023-05-16T09:38:36Z | 18 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-20T00:55:25Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### TMBMomDog Dreambooth model trained by AILifeHacks with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
sd-dreambooth-library/riffusion-rage
|
sd-dreambooth-library
| 2023-05-16T09:38:34Z | 25 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-20T00:10:30Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### riffusion_rage Dreambooth model trained by aross3 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
CinnabonMan/huh
|
CinnabonMan
| 2023-05-16T09:38:25Z | 17 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-19T16:01:00Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### huh Dreambooth model trained by CinnabonMan with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
quinn3111993/quinn-2
|
quinn3111993
| 2023-05-16T09:38:23Z | 17 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-19T15:44:20Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### quinn_2 Dreambooth model trained by quinn3111993 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
tzvc/1e3d938d-b6cf-4ae6-a07a-d0b4128465d1
|
tzvc
| 2023-05-16T09:38:21Z | 21 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-19T10:06:00Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### 1e3d938d-b6cf-4ae6-a07a-d0b4128465d1 Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdcid (use that on your prompt)
|
tftgregrge/wedadams-bkdbj
|
tftgregrge
| 2023-05-16T09:38:14Z | 20 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-18T20:56:25Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### wedadams_bkdbj Dreambooth model trained by tftgregrge with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
.jpg)
|
chebao/123123
|
chebao
| 2023-05-16T09:38:06Z | 35 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-18T09:19:51Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: chebao
---
### 123123 Dreambooth model trained by chebao with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
chebao (use that on your prompt)
|
sevenknight/ter123
|
sevenknight
| 2023-05-16T09:38:04Z | 35 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-18T09:15:17Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ter123 Dreambooth model trained by sevenknight with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
tzvc/a797ea21-1729-49ee-b2c9-1b0bc3d641f7
|
tzvc
| 2023-05-16T09:37:57Z | 29 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-17T17:50:33Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### a797ea21-1729-49ee-b2c9-1b0bc3d641f7 Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdcid (use that on your prompt)
|
supastazz/supastazzz
|
supastazz
| 2023-05-16T09:37:48Z | 29 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-16T13:34:40Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### supastazzz Dreambooth model trained by supastazz with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
Narsil/riffusion
|
Narsil
| 2023-05-16T09:37:40Z | 7 | 1 |
diffusers
|
[
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-speech",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-speech
| 2022-12-15T20:52:45Z |
---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-speech
inference: true
extra_gated_prompt: >-
This model is open access and available to all, with a CreativeML OpenRAIL-M
license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. You can't use the model to deliberately produce nor share illegal or
harmful outputs or content
2. Riffusion claims no rights on the outputs you generate, you are free to use
them and are accountable for their use which must not go against the
provisions set in the license
3. You may re-distribute the weights and use the model commercially and/or as
a service. If you do, please be aware you have to include the same use
restrictions as the ones in the license and share a copy of the CreativeML
OpenRAIL-M to all your users (please read the license entirely and carefully)
Please read the full license carefully here:
https://huggingface.co/spaces/CompVis/stable-diffusion-license
extra_gated_heading: Please read the LICENSE to access this model
duplicated_from: riffusion/riffusion-model-v1
---
# Riffusion
Riffusion is an app for real-time music generation with stable diffusion.
Read about it at https://www.riffusion.com/about and try it at https://www.riffusion.com/.
* Web app: https://github.com/hmartiro/riffusion-app
* Inference server: https://github.com/hmartiro/riffusion-inference
* Model checkpoint: https://huggingface.co/riffusion/riffusion-model-v1
This repository contains the model files, including:
* a diffusers formated library
* a compiled checkpoint file
* a traced unet for improved inference speed
* a seed image library for use with riffusion-app
# Riffusion v1 Model
Riffusion is a latent text-to-image diffusion model capable of generating spectrogram images given any text input. These spectrograms can be converted into audio clips.
The model was created by [Seth Forsgren](https://sethforsgren.com/) and [Hayk Martiros](https://haykmartiros.com/) as a hobby project.
You can use the Riffusion model directly, or try the [Riffusion web app](https://www.riffusion.com/).
The Riffusion model was created by fine-tuning the **Stable-Diffusion-v1-5** checkpoint. Read about Stable Diffusion here [🤗's Stable Diffusion blog](https://huggingface.co/blog/stable_diffusion).
## Model Details
- **Developed by:** Seth Forsgren, Hayk Martiros
- **Model type:** Diffusion-based text-to-image generation model
- **Language(s):** English
- **License:** [The CreativeML OpenRAIL M license](https://huggingface.co/spaces/CompVis/stable-diffusion-license) is an [Open RAIL M license](https://www.licenses.ai/blog/2022/8/18/naming-convention-of-responsible-ai-licenses), adapted from the work that [BigScience](https://bigscience.huggingface.co/) and [the RAIL Initiative](https://www.licenses.ai/) are jointly carrying in the area of responsible AI licensing. See also [the article about the BLOOM Open RAIL license](https://bigscience.huggingface.co/blog/the-bigscience-rail-license) on which our license is based.
- **Model Description:** This is a model that can be used to generate and modify images based on text prompts. It is a [Latent Diffusion Model](https://arxiv.org/abs/2112.10752) that uses a fixed, pretrained text encoder ([CLIP ViT-L/14](https://arxiv.org/abs/2103.00020)) as suggested in the [Imagen paper](https://arxiv.org/abs/2205.11487).
## Direct Use
The model is intended for research purposes only. Possible research areas and
tasks include
- Generation of artworks, audio, and use in creative processes.
- Applications in educational or creative tools.
- Research on generative models.
## Citation
If you build on this work, please cite it as follows:
```
@software{Forsgren_Martiros_2022,
author = {Forsgren, Seth* and Martiros, Hayk*},
title = {{Riffusion - Stable diffusion for real-time music generation}},
url = {https://riffusion.com/about},
year = {2022}
}
```
|
duja1/rondage
|
duja1
| 2023-05-16T09:37:29Z | 35 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-14T21:26:27Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: r123ondage
---
### rondage Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
r123ondage (use that on your prompt)
|
duja1/catollage
|
duja1
| 2023-05-16T09:37:22Z | 33 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-13T23:15:48Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: catollage123
---
### Catollage Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
catollage123 (use that on your prompt)
|
tftgregrge/evgengrcivface
|
tftgregrge
| 2023-05-16T09:37:20Z | 30 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-13T22:34:46Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### evgengrcivface Dreambooth model trained by tftgregrge with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
gubaguba/borya2
|
gubaguba
| 2023-05-16T09:37:16Z | 38 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-13T21:11:26Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### borya2 Dreambooth model trained by gubaguba with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
LaCambre/deathcharacter
|
LaCambre
| 2023-05-16T09:37:14Z | 50 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-13T16:51:07Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### DeathCharacter Dreambooth model trained by LaCambre with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Write "DeathCharacter"
Sample pictures of this concept:
.jpg)
|
bondarchukb/minicooper
|
bondarchukb
| 2023-05-16T09:37:08Z | 45 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-13T09:21:35Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### minicooper Dreambooth model trained by bondarchukb with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
theguaz/rembrantsito
|
theguaz
| 2023-05-16T09:36:58Z | 30 | 2 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-12T13:14:24Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### rembrantSito Dreambooth model trained by theguaz with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
coreco/seek.art_MEGA
|
coreco
| 2023-05-16T09:36:46Z | 192 | 180 |
diffusers
|
[
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-12T04:27:41Z |
---
inference: true
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
---
# Seek.art MEGA is a general use "anything" model that significantly improves on 1.5 across dozens of styles. Created by Coreco at [seek.art](https://seek.art/)
This model was trained on nearly 10k high-quality public domain digital artworks with the goal of improving output quality across the board. We find the model to be highly flexible in its ability to mix various styles, subjects, and details. We recommend resolutions above 640px in one or both dimensions for best results.
You can try this model and several others for free at [seek.art](https://seek.art/).
We also recommend an inference tool supporting prompt weighting and high resolution optimization / fixing for best results. We suggest [InvokeAI](https://github.com/invoke-ai/InvokeAI) as a sensibly licensed and fully featured open-source inference tool.
### Examples
<img src="https://huggingface.co/coreco/seek.art_MEGA/resolve/main/examples.png" style="max-width: 800px;" width="100%"/>
The above example images including the prompts and all relevant settings are available [here](https://seek.art/explore/search?collection=6112a64d-bd8b-4043-8d96-88c7cfa65c43).
Additionally, search thousands of high quality prompts on [seek.art](https://seek.art/) for free.
### License - This model carries a commercial restricted sub-license, please read carefully:
[License](https://huggingface.co/coreco/seek.art_MEGA/blob/main/LICENSE.txt)
### Use Restrictions
You agree not to use the Model or Derivatives of the Model:
- for the commercial purpose of hosted content generation (inference) without the express written permission of seek.art. Model output for personal use carries no such commercial restriction.
- In any way that violates any applicable national, federal, state, local or international law or regulation;
- For the purpose of exploiting, harming or attempting to exploit or harm minors in any way;
- To generate or disseminate verifiably false information and/or content with the purpose of harming others;
- To generate or disseminate personal identifiable information that can be used to harm an individual;
- To defame, disparage or otherwise harass others;
- For fully automated decision making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation;
- For any use intended to or which has the effect of discriminating against or harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics;
- To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm;
- For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories;
- To provide medical advice and medical results interpretation;
- To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).
|
Alexwww/simple-icons
|
Alexwww
| 2023-05-16T09:36:41Z | 474 | 13 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-12T02:11:16Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Please put prompt icon with white background of
Simple-icons Dreambooth model trained by Alexwww with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Please put prompt _____ icon with white background.
Trained with Material design icons
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
Nina1725/custom-dreambooth1
|
Nina1725
| 2023-05-16T09:36:39Z | 36 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-12T01:26:41Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### custom-dreambooth1 Dreambooth model trained by Nina1725 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
BlooBarri/Bloo
|
BlooBarri
| 2023-05-16T09:36:36Z | 6 | 1 |
diffusers
|
[
"diffusers",
"jax",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-11T07:58:17Z |
---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Anything V3
Welcome to Anything V3 - a latent diffusion model for weebs. This model is intended to produce high-quality, highly detailed anime style with just a few prompts. Like other anime-style Stable Diffusion models, it also supports danbooru tags to generate images.
e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_**
## Gradio
We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run Anything-V3.0:
[Open in Spaces](https://huggingface.co/spaces/akhaliq/anything-v3.0)
## 🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
```python
from diffusers import StableDiffusionPipeline
import torch
model_id = "Linaqruf/anything-v3.0"
branch_name= "diffusers"
pipe = StableDiffusionPipeline.from_pretrained(model_id, revision=branch_name, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "pikachu"
image = pipe(prompt).images[0]
image.save("./pikachu.png")
```
## Examples
Below are some examples of images generated using this model:
**Anime Girl:**
```
1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden
Steps: 50, Sampler: DDIM, CFG scale: 12
```
**Anime Boy:**
```
1boy, medium hair, blonde hair, blue eyes, bishounen, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden
Steps: 50, Sampler: DDIM, CFG scale: 12
```
**Scenery:**
```
scenery, shibuya tokyo, post-apocalypse, ruins, rust, sky, skyscraper, abandoned, blue sky, broken window, building, cloud, crane machine, outdoors, overgrown, pillar, sunset
Steps: 50, Sampler: DDIM, CFG scale: 12
```
## License
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
|
duja1/m123ugg
|
duja1
| 2023-05-16T09:36:33Z | 34 | 1 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-10T23:17:06Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: m123ugg
---
### m123ugg Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
m123ugg (use that on your prompt)
|
efederici/gpoloni
|
efederici
| 2023-05-16T09:36:29Z | 43 | 3 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-10T18:14:21Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### gpoloni
Sample pictures of this concept (using 'gpoloni'):
|
9LSMai/lsm-v1-0
|
9LSMai
| 2023-05-16T09:36:27Z | 37 | 3 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-10T17:28:34Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### LSM-v1.0 Dreambooth model trained by 9LSMai with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
tzvc/sd-coby
|
tzvc
| 2023-05-16T09:36:26Z | 48 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-10T13:13:34Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcoby
---
### sd-coby Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
sdcoby (use that on your prompt)
|
Harrypotterrrr/andrey
|
Harrypotterrrr
| 2023-05-16T09:36:20Z | 30 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-10T02:24:26Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### andrey Dreambooth model trained by Harrypotterrrr with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
mahpat/dorobot1
|
mahpat
| 2023-05-16T09:36:18Z | 31 | 1 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-09T22:59:26Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: dorobot1
---
### dorobot1 Dreambooth model trained by mahpat with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
dorobot1 (use that on your prompt)
|
JrdnRgrs/jogipie_faces
|
JrdnRgrs
| 2023-05-16T09:36:16Z | 3 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-09T20:53:29Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### JogiPie Dreambooth model trained by JrdnRgrs with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
My face is trained on the keyword: **jogipie**
Sample pictures of this concept:
This model was trained on these images:
|
sd-dreambooth-library/kim_jung_gi_art_style
|
sd-dreambooth-library
| 2023-05-16T09:36:10Z | 55 | 7 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-09T14:55:37Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### kim_jung_gi_art_style Dreambooth model trained by apurik-parv with [Shivam shri rao's DreamBooth](https://github.com/ShivamShrirao/diffusers/tree/main/examples/dreambooth/train_dreambooth.py) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Inference phrase: **kimjugi**
The model is trained on kim jung gi images for a total of 10000 steps.
The intention is to reproduce the art style faithfully.
Feel free to use it.
|
tolgadev/tolgadreamsinbooth
|
tolgadev
| 2023-05-16T09:36:08Z | 43 | 1 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-09T13:12:08Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### "TolgaDreamsInBooth" is fine-tuned version of Dreambooth text-to-image model
- This model trained with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
- Labelled myself as "tkrut11" while training. You can use this label to create my portrait based images.
# Sample prompt:
detailed portrait of tkrut11 Holographic Futuristic sci-fi fashion cyberpunk, (neotokyo), synthwave, (aesthetics), futuristic, bladerunner movie scene by ismail inceoglu dragan bibin hans thoma greg rutkowski Alexandros Pyromallis Nekro Rene Margitte illustrated Perfect face, fine details, realistic shaded, fine-face, pretty face sharp chine
External usage :
```python
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("tkurtulus/tolgadreamsinbooth-concept")
```
|
oacev/heightmapsstyle
|
oacev
| 2023-05-16T09:36:07Z | 35 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-09T09:17:18Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### heightmapsstyle Dreambooth model trained by oacev with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
|
sd-dreambooth-library/abstract_nature_patterns_v2
|
sd-dreambooth-library
| 2023-05-16T09:36:05Z | 49 | 5 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-09T04:59:30Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### abstract_nature_patterns_v2 Dreambooth model trained by apurik-parv with https://github.com/ShivamShrirao/diffusers dreambooth implementation.
inference prompt : **abnapa**\\
The model is an attempt at teaching symmetry and scales associated with nature to SD 1.5 base model.
This version v2 is trained on better curated images for 40,000 steps. I am still working on finding what the model really does and if it has any impact on the base model.
With that being said, the following are my findings, at the outset it seems that
-Images have better symmetry and lighting.
-Images have less artifacts.
-Does not seem to work with large canvas such as 1024x1024 the repetition problem isstill there.
Feel free to experiment with the model.
|
sztanki/got-style-v1
|
sztanki
| 2023-05-16T09:36:03Z | 32 | 0 |
diffusers
|
[
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-08T19:14:05Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
---
### got-style-v1 Dreambooth model trained by sztanki with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
Sample pictures of:
got (use that on your prompt)
|
CiroN2022/bladegirl
|
CiroN2022
| 2023-05-16T09:36:01Z | 30 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2022-12-08T17:28:44Z |
---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### bladegirl Dreambooth model trained by CiroN2022 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
Sample pictures of this concept:
.jpg)
|
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