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
Add 5 files
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cinnap5.safetensors
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oid sha256:56802ec67de8b8473a96afb82f5aa393ecd4e437f207f364369315fc82872501
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size 39765680
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