Instructions to use tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator 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("tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator") prompt = "A dress with Color: Black, Department: Dresses, Detail: High Low, Fabric-Elasticity: No Sretch, Fit: Fitted, Hemline: Slit, Material: Gabardine, Neckline: Collared, Pattern: Solid, Sleeve-Length: Sleeveless, Style: Casual, Type: Tunic, Waistline: Regular" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 626b3e25b2459b0c97d39a4235a831d4f378ebfeb1b851cf554ce4471155c6fa
- Size of remote file:
- 11.4 kB
- SHA256:
- 2965fca2943b74748145b6e3d5a6dc723502ef236a99f1b6c07af986fbce77d6
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