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
- Draw Things
- DiffusionBee
Add generated example
#2
by fireatyou - opened
Generated example for model tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator.
Prompt: Color: Lavender Department: Outerwear Detail: Double-breasted, Padded shoulders Fabric-Elasticity: Non-stretch Fit: Oversized Hemline: Hip-length Material: Wool Blend Neckline: Notched Lapel Pattern: Solid Sleeve-Length: Long Style: Power Suit Type: Blazer Waistline: Relaxed
kailashtryonlabs changed pull request status to closed