Instructions to use prithivMLmods/Fashion-Hut-Modeling-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Fashion-Hut-Modeling-LoRA 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("prithivMLmods/Fashion-Hut-Modeling-LoRA") prompt = "Modeling of Photo of a woman with long brown hair, wearing a pink sports bra, standing against a plain white background, looking over her shoulder with a serious expression, medium close-up, fair skin, slender physique, small breasts, soft lighting, high quality, jpeg artifacts, no watermark, no text, no tattoos, no piercings, no makeup, no jewelry, no accessories, no background, no shadows, no highlights, no reflections, no lens flare, no bokeh, no depth of field, no blur, no grain, no noise, no compression, no artifacts, no compression artifacts, no noise artifacts, no grain artifacts, no blur artifacts, no depth of field artifacts, no highlights artifacts, no shadows artifacts, no lens flare artifacts, no reflections artifacts" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!