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
| # MMAudioFeatureUtilsLoaderMultiGPU | |
| `MMAudioFeatureUtilsLoaderMultiGPU` gathers the auxiliary MMAudio components (VAE, Synchformer, CLIP, and optional vocoder) on the device you choose so they can feed the sampler without consuming your main GPU. | |
| ## Inputs | |
| ### Required | |
| | Parameter | Data Type | Description | | |
| | --- | --- | --- | | |
| | `vae_model` | `STRING` | VAE weights from `ComfyUI/models/mmaudio`. | | |
| | `synchformer_model` | `STRING` | Synchformer weights from `ComfyUI/models/mmaudio`. | | |
| | `clip_model` | `STRING` | CLIP weights from `ComfyUI/models/mmaudio`. | | |
| ### Optional | |
| | Parameter | Data Type | Description | | |
| | --- | --- | --- | | |
| | `bigvgan_vocoder_model` | `VOCODER_MODEL` | Optional BigVGAN vocoder bundle. | | |
| | `mode` | `STRING` | Feature resolution (`16k` or `44k`). | | |
| | `precision` | `STRING` | Precision for aux weights (`fp16`, `fp32`, `bf16`). | | |
| | `device` | `STRING` | Device receiving the feature utility stack. | | |
| ## Outputs | |
| | Output Name | Data Type | Description | | |
| | --- | --- | --- | | |
| | `mmaudio_featureutils` | `MMAUDIO_FEATUREUTILS` | Fully prepared feature utility pack. | | |