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 /wanvideo /modules /__pycache__ /model.cpython-313.pyc
- Xet hash:
- 4382ed18bf41b867cf05aa713426fea1ef5169f13b55a67f869adcaa2390eadd
- Size of remote file:
- 202 kB
- SHA256:
- bc1aaa0f1f3450960319f741a5859e0844aad4d3b93eb7f66d56359b19f76bd3
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