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
PulidEvaClipLoaderMultiGPU
PulidEvaClipLoaderMultiGPU prepares the EVA CLIP text encoder required by PuLID and keeps it on the device you nominate for downstream conditioning.
Inputs
Optional
| Parameter | Data Type | Description |
|---|---|---|
device |
STRING |
Device selected for the EVA CLIP encoder. |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
eva_clip |
EVA_CLIP |
Loaded EVA CLIP encoder instance. |