Instructions to use StonyBrook-CVLab/PixCell-256-Cell-ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StonyBrook-CVLab/PixCell-256-Cell-ControlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("StonyBrook-CVLab/PixCell-256-Cell-ControlNet", 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
Download pixcell_256_cell_controlnet_banner.png from StonyBrook-CVLab/PixCell-256-Cell-ControlNet: direct link, hf CLI and curl.
- Browser
- Download file 125 kB
-
https://huggingface.co/StonyBrook-CVLab/PixCell-256-Cell-ControlNet/resolve/main/pixcell_256_cell_controlnet_banner.png
- Command line
-
hf download hf://StonyBrook-CVLab/PixCell-256-Cell-ControlNet/pixcell_256_cell_controlnet_banner.png
-
curl -L -o pixcell_256_cell_controlnet_banner.png https://huggingface.co/StonyBrook-CVLab/PixCell-256-Cell-ControlNet/resolve/main/pixcell_256_cell_controlnet_banner.png
125 kB

- Xet hash:
- e03de2830f749d656dc6b688b7e8b1b2cf03b21960f9071b9eb47031bd07e142
- Size of remote file:
- 125 kB
- SHA256:
- d302735759945810c0c16b2aa4c2def2a61412a491fb498d0e5f056e1f797524
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