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
LTXVLoaderMultiGPU
LTXVLoaderMultiGPU wraps ComfyUI-LTXVideo's checkpoint loader so you can push LTX Video models to any GPU (or CPU) in your system without editing the base node.
Inputs
Every input from the upstream LTXVLoader node is preserved. The MultiGPU version adds a single optional selector:
| Parameter | Data Type | Description |
|---|---|---|
device |
STRING |
MultiGPU device that should host the loaded LTX Video checkpoint. |
Outputs
Outputs are identical to the original LTX Video loader. The loader simply ensures the returned model already resides on the selected device.