Instructions to use Yw22/BlobCtrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yw22/BlobCtrl 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("Yw22/BlobCtrl", 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
Improve metadata and add paper link
#1
by nielsr HF Staff - opened
This PR improves the model card by adding a link to the paper and ensuring the metadata is correctly filled in. More specifically, the library_name is set to diffusers and the pipeline_tag is set to image-to-image so that the model can be easily discoverable.