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
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README.md
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FLUX.1-dev LoRA Outfit Generator can create an outfit by detailing the color, pattern, fit, style, material, and type.
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## Download model
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FLUX.1-dev LoRA Outfit Generator can create an outfit by detailing the color, pattern, fit, style, material, and type.
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## Dataset used
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H&M Fashion Captions Dataset - 20.5k samples
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https://huggingface.co/datasets/tomytjandra/h-and-m-fashion-caption
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## Repository used
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AI Toolkit by Ostris
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https://github.com/ostris/ai-toolkit
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## Download model
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