Instructions to use bhomik7/sd3.5_medium_lora_finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bhomik7/sd3.5_medium_lora_finetune with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bhomik7/sd3.5_medium_lora_finetune") prompt = "Create a modern user interface design for a mobile application that focuses on fitness tracking. The layout should include a vibrant dashboard displaying key metrics such as steps taken, calories burned, and workout summaries. Incorporate interactive elements like buttons for starting workouts, viewing progress, and accessing nutrition information. Use a color palette that conveys energy and motivation, with clear typography and intuitive navigation." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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