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. |