Instructions to use alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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"model_index": [
{
"name": "FLUX 1.0 Dev ControlNet Inpainting Beta",
"description": "A model for inpainting tasks using ControlNet architecture. Developed for advanced diffusion inpainting workflows.",
"tags": [
"inpainting",
"diffusion",
"controlnet",
"comfyui",
"beta"
],
"architecture": "ControlNet",
"framework": "PyTorch",
"files": [
{
"file_name": "diffusion_pytorch_model.safetensors",
"description": "Main model weights in safetensors format.",
"lfs": true
},
{
"file_name": "config.json",
"description": "Configuration file for the model."
},
{
"file_name": "README.md",
"description": "Documentation and usage instructions in English."
},
{
"file_name": "README_ZH.md",
"description": "Documentation and usage instructions in Chinese."
},
{
"file_name": ".gitattributes",
"description": "Defines LFS-tracked files and ensures correct handling of large files."
}
]
}
]
}
|