Instructions to use Motas/Flux_Fashion_Photography_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Motas/Flux_Fashion_Photography_Style 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("Motas/Flux_Fashion_Photography_Style") prompt = "feshph, a fashion photograph, surrealistic close-up portrait of a Scandinavian model with a styled updo haircut posing for a fashion photoshoot. She has detailed face with proper skin texture, pores, skin lines, and gorgeous eyes. She is standing in a Dynamic pose and wearing couture apparel. She is posing on a green gradient background. The light is dramatic and surrealistic, with spotlight accent on the model, abstract lighting and surreal surrealistic style." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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