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:
- 7229afb47b066b500255f5dc6a99a0135a808115e01f56739e68fe2417b40503
- Size of remote file:
- 687 MB
- SHA256:
- 6f0d6648babfeafa79d67559c163b8f8639a067e6d30d87e0c65b4071db2bca0
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