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/ex3_skin.png from AliceKJ/BLOCKv0.6: direct link, hf CLI and curl.
- Browser
- Download file 274 kB
-
https://huggingface.co/AliceKJ/BLOCKv0.6/resolve/main/examples/ex3_skin.png
- Command line
-
hf download hf://AliceKJ/BLOCKv0.6/examples/ex3_skin.png
-
curl -L -o ex3_skin.png https://huggingface.co/AliceKJ/BLOCKv0.6/resolve/main/examples/ex3_skin.png
274 kB

- Xet hash:
- 811147b8cf479d764b0a995d68a569b5deb2e3a9c9ef240806fae101743232a2
- Size of remote file:
- 274 kB
- SHA256:
- 4c817794e5d741a131fe7eb910721467e93eef166e4db59ca4d60bd2f4536173
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