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. | |