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
DualCLIPLoaderGGUFDisTorchMultiGPU
Deprecated: DisTorch V1 legacy nodes are no longer supported. Please migrate to DualCLIPLoaderGGUFDisTorch2MultiGPU for maintained functionality.
This documentation is retained for reference only. Use the DisTorch2 version above for dual GGUF CLIP workflows with modern allocation support.