Instructions to use Nicolas3331/redjopa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nicolas3331/redjopa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2512", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Nicolas3331/redjopa") prompt = "LoRA model for Stable Diffusion. Trained for [A young woman with long, thick, naturally wavy ginger hair in a warm copper-red tone. Her hair has soft volume, slightly layered, with loose waves falling over her shoulders and framing her face, parted near the center. She has very fair, porcelain skin with a natural pink undertone and visible light freckles scattered across her cheeks, nose bridge, and lightly on her forehead. Her face is oval-shaped with soft, delicate proportions. She has light blue eyes with a calm, slightly dreamy expression, medium-sized eyes with natural lashes and subtle eyeliner. Her eyebrows are light brown, softly shaped, natural and not overly defined. She has a small, straight nose and full, well-defined lips with a deep rose-red lipstick finish. Her makeup is minimal and natural, with emphasis on lips and smooth skin texture.]." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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