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

- Xet hash:
- 670907838b281262d24fad6aee369801a4e4efeb22c1d7b628786c16093cc28f
- Size of remote file:
- 460 kB
- SHA256:
- e620254325d1a5231ff210820ddcbec77b3a292f37ac510e351a8103ab7a97e2
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