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
MMAudioModelLoaderMultiGPU
MMAudioModelLoaderMultiGPU loads MMAudio diffusion checkpoints while letting you pin the model weights to a specific compute device. Use it to keep long-running audio generations off your primary image GPU.
Inputs
Required
| Parameter | Data Type | Description |
|---|---|---|
mmaudio_model |
STRING |
Model filename from ComfyUI/models/mmaudio. |
base_precision |
STRING |
Weight precision to request (fp16, fp32, bf16). |
Optional
| Parameter | Data Type | Description |
|---|---|---|
device |
STRING |
Target device for the loaded model (e.g. cuda:0, cpu). |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
mmaudio_model |
MMAUDIO_MODEL |
Loaded MMAudio diffusion pipeline. |