Instructions to use bbbboiwow/cocccck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bbbboiwow/cocccck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bbbboiwow/cocccck", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
cocccck / custom_nodes /ComfyUI-WanVideoWrapper /example_workflows /example_inputs /wolf_interpolated.mp4
- Xet hash:
- 889b2e84669062c461d5e11f61d42539604b56b15495f61ddecae0f9cedb7759
- Size of remote file:
- 195 kB
- SHA256:
- 56fadca209868e8930dc12bd825a2aa8bab822f0152812aaa2aeefd46176c74b
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