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_001450_00_20250706141514.png from StuffedPumpkins/CinnaP5: direct link, hf CLI and curl.
- Browser
- Download file 222 kB
-
https://huggingface.co/StuffedPumpkins/CinnaP5/resolve/main/images/cinnap5_001450_00_20250706141514.png
- Command line
-
hf download hf://StuffedPumpkins/CinnaP5/images/cinnap5_001450_00_20250706141514.png
-
curl -L -o cinnap5_001450_00_20250706141514.png https://huggingface.co/StuffedPumpkins/CinnaP5/resolve/main/images/cinnap5_001450_00_20250706141514.png
222 kB

- Xet hash:
- ff94da55b9704aa1ffeebf79d833e3fbeff660e4bf8205e68784aca55991b181
- Size of remote file:
- 222 kB
- SHA256:
- a1d5fd5f427158172c161245375cef8f07b01206b78338ed8142ca9b71f8e923
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.