Instructions to use osmankoycu/coloringbook-dashedline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use osmankoycu/coloringbook-dashedline 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("osmankoycu/coloringbook-dashedline") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6fdb2ea7944f8a1152bc22571aa25e9775787a23d582a980b329604a09cef7c4
- Size of remote file:
- 306 MB
- SHA256:
- 701f311f91597a1891d35c8341163a5896a621a3fdd8ef9161b59de2e4e53246
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