Instructions to use AliceKJ/BLOCKv0.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AliceKJ/BLOCKv0.6 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("AliceKJ/BLOCKv0.6", 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 examples/ex2_skin.png from AliceKJ/BLOCKv0.6: direct link, hf CLI and curl.
- Browser
- Download file 344 kB
-
https://huggingface.co/AliceKJ/BLOCKv0.6/resolve/main/examples/ex2_skin.png
- Command line
-
hf download hf://AliceKJ/BLOCKv0.6/examples/ex2_skin.png
-
curl -L -o ex2_skin.png https://huggingface.co/AliceKJ/BLOCKv0.6/resolve/main/examples/ex2_skin.png
344 kB

- Xet hash:
- 047f7355928c06ce9865aaf5cd9f7ef0d4d7e1fcd92d3b40761d591eb42f20a0
- Size of remote file:
- 344 kB
- SHA256:
- dff747a1c5aef7a8a0235898953e5b76d33c8b4b5f96695a2d07d090258525de
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