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
DownloadAndLoadFlorence2ModelMultiGPU
DownloadAndLoadFlorence2ModelMultiGPU mirrors the download-and-load helper supplied by ComfyUI-Florence2, but with explicit device and offload selection so large Florence2 checkpoints can live on secondary GPUs or CPU memory.
Inputs
All original inputs from DownloadAndLoadFlorence2Model remain available. The MultiGPU wrapper introduces two optional selectors:
| Parameter | Data Type | Description |
|---|---|---|
device |
STRING |
Compute device to host the model once loaded. |
offload_device |
STRING |
Device that receives automatic offloads (defaults to cpu). |
Outputs
Outputs match the base Florence2 helper (model handle plus aux data). The only difference is that the returned model is already resident on the device you specified.