Image-to-Image
Diffusers
Safetensors
English
virtual-try-on
diffusion
stable-diffusion
multi-reference
computer-vision
comfyui
gradio
aigc
Instructions to use zhengchong/FastFit-SR-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhengchong/FastFit-SR-1024 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("zhengchong/FastFit-SR-1024", 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
Download vae/diffusion_pytorch_model.bin from zhengchong/FastFit-SR-1024: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/zhengchong/FastFit-SR-1024/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://zhengchong/FastFit-SR-1024/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/zhengchong/FastFit-SR-1024/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 9148b10af153e227c0ad0791ca67828a16f2f4065efcf6e0fb1a4fe0d28c6034
- Size of remote file:
- 335 MB
- SHA256:
- 1b4889b6b1d4ce7ae320a02dedaeff1780ad77d415ea0d744b476155c6377ddc
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