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:
- a350838df6b5668ce34904a8f3898bf4b6bdf60c3e9cc3f026facd7242412bcc
- Size of remote file:
- 120 kB
- SHA256:
- 578d8146f4243c2c53a0a10261acbb98c6a720c3d8f4bac4bb6b281165257e34
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