Instructions to use radames/stable-diffusion-2-1-unclip-img2img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use radames/stable-diffusion-2-1-unclip-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/stable-diffusion-2-1-unclip-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
| { | |
| "_class_name": "StableUnCLIPImageNormalizer", | |
| "_diffusers_version": "0.15.0.dev0", | |
| "_name_or_path": "./image_normalizer", | |
| "embedding_dim": 1024 | |
| } | |