Instructions to use codecandy/detailer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codecandy/detailer 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("codecandy/detailer") prompt = "a young woman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- e9d6dd1da0327ce764a05e2f0f373ca619c326341b6d6435f5dbb6560668352e
- Size of remote file:
- 2.22 MB
- SHA256:
- 712efdba80e79c161209fec9b41d619ae4fdf817257d4eb69a3e4c8cdbb5efb3
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