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](DualCLIPLoaderGGUFDisTorch2MultiGPU.md) for maintained functionality. | |
| This documentation is retained for reference only. Use the DisTorch2 version above for dual GGUF CLIP workflows with modern allocation support. | |