metadata
base_model: hf-internal-testing/tiny-flux-pipe
library_name: diffusers
license: other
instance_prompt: a photo of sks dog
widget: []
tags:
- text-to-image
- diffusers-training
- diffusers
- flux
- flux-diffusers
- template:sd-lora
- text-to-image
- diffusers-training
- diffusers
- flux
- flux-diffusers
- template:sd-lora
Flux [dev] DreamBooth - tonyshark/flux-tiny
Model description
These are tonyshark/models DreamBooth weights for hf-internal-testing/tiny-flux-pipe.
The weights were trained using DreamBooth with the Flux diffusers trainer.
Was the text encoder fine-tuned? False.
Trigger words
You should use a photo of sks dog to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('tonyshark/models', torch_dtype=torch.bfloat16).to('cuda')
image = pipeline('a photo of sks dog').images[0]
License
Please adhere to the licensing terms as described here.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]