Instructions to use Squiddy3/AnneRabbitte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/AnneRabbitte with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Squiddy3/AnneRabbitte") prompt = "Anne Rabbitte" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Squiddy3/AnneRabbitte")
prompt = "Anne Rabbitte"
image = pipe(prompt).images[0]Flux

- Prompt
- Anne Rabbitte
Model description
Anne Rabbitte
Trigger words
You should use Anne Rabbitte to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Squiddy3/AnneRabbitte
Base model
black-forest-labs/FLUX.1-dev