Image-to-Image
Diffusers
Chinese
AltDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
multilingual
English(En)
Chinese(Zh)
Spanish(Es)
French(Fr)
Russian(Ru)
Japanese(Ja)
Korean(Ko)
Arabic(Ar)
Italian(It)
Instructions to use radames/AltDiffusion-m9-img2img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use radames/AltDiffusion-m9-img2img 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("radames/AltDiffusion-m9-img2img", 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 m9.png from radames/AltDiffusion-m9-img2img: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/radames/AltDiffusion-m9-img2img/resolve/main/m9.png
- Command line
-
hf download hf://radames/AltDiffusion-m9-img2img/m9.png
-
curl -L -o m9.png https://huggingface.co/radames/AltDiffusion-m9-img2img/resolve/main/m9.png
1.67 MB

- Xet hash:
- 79f9762181c46657b01a1f5468a22d893f8dc308f055b7dc8f9369c942d197b2
- Size of remote file:
- 1.67 MB
- SHA256:
- 9043a1c709ff94377ca598bd00574e3d97d36c099421282219a20cb8d40829d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.