Instructions to use Mari-ano/josorolla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mari-ano/josorolla 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("Mari-ano/josorolla") prompt = "jsorotaire, A portrait of a young man standing before a large green wooden door, bathed in soft afternoon light. He wears a rust-red sweater over a blue collared shirt with a striped tie, holding a dark coat in one hand and adjusting the strap of a bag with the other. The sunlight grazes his hair and cheek, turning edges into warm glows of gold and rose. Broad, confident brushstrokes describe the folds of fabric and the weathered texture of the wall, while cooler shadows settle across the trousers and doorway. The composition feels poised and modern, yet painted in a classical impressionist oil style, blending realism with loose, luminous color harmony." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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