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
PulidModelLoaderMultiGPU
PulidModelLoaderMultiGPU loads PuLID identity preservation checkpoints onto your chosen device so facial guidance workloads can avoid your primary rendering GPU.
Inputs
Required
| Parameter | Data Type | Description |
|---|---|---|
pulid_file |
STRING |
PuLID model file from ComfyUI/models/pulid. |
Optional
| Parameter | Data Type | Description |
|---|---|---|
device |
STRING |
Device that will host the PuLID weights. |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
model |
PULID |
Loaded PuLID model bundle. |