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
PulidInsightFaceLoaderMultiGPU
PulidInsightFaceLoaderMultiGPU boots the InsightFace detector needed by PuLID and pins it to the device you specify, ensuring face embeddings come from the best accelerator for your setup.
Inputs
Required
| Parameter | Data Type | Description |
|---|---|---|
provider |
STRING |
Execution backend (CPU, CUDA, ROCM, CoreML). |
Optional
| Parameter | Data Type | Description |
|---|---|---|
device |
STRING |
Device assigned to the InsightFace runtime. |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
faceanalysis |
FACEANALYSIS |
Ready InsightFace analysis module. |