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
UNetLoaderLP
UNetLoaderLP is a low-precision variant of the standard UNet loader that disables high-precision LoRA tensors for CPU-stored models, freeing additional host memory while remaining compatible with MultiGPU device routing.
Inputs
Required
| Parameter | Data Type | Description |
|---|---|---|
unet_name |
STRING |
UNet checkpoint filename from ComfyUI/models/unet. |
Optional
| Parameter | Data Type | Description |
|---|---|---|
device |
STRING |
Device that should serve the UNet after loading. |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
model |
MODEL |
Loaded UNet model with low-precision LoRA flag set. |