Instructions to use StuffedPumpkins/CinnaP5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StuffedPumpkins/CinnaP5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("StuffedPumpkins/CinnaP5") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/cinnap5_001475_00_20250706141625.png from StuffedPumpkins/CinnaP5: direct link, hf CLI and curl.
- Browser
- Download file 206 kB
-
https://huggingface.co/StuffedPumpkins/CinnaP5/resolve/main/images/cinnap5_001475_00_20250706141625.png
- Command line
-
hf download hf://StuffedPumpkins/CinnaP5/images/cinnap5_001475_00_20250706141625.png
-
curl -L -o cinnap5_001475_00_20250706141625.png https://huggingface.co/StuffedPumpkins/CinnaP5/resolve/main/images/cinnap5_001475_00_20250706141625.png
206 kB

- Xet hash:
- c5de8a158914b60f2b0f8b676c2c05c6a90de50d57061ffa55f2fe8bb4418558
- Size of remote file:
- 206 kB
- SHA256:
- 16e59f62248a5dfd6ae6772f4f98bb0d3fe347f02f87422c013e27ae1e02094f
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