Instructions to use Jovie/Highres_Schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jovie/Highres_Schnell 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jovie/Highres_Schnell") prompt = "imagine, dream of, (art by L. S. Lowry:0.9) , anime key visual, (woman body, defined thick thighs, organically infused, cybernetic body parts, short underwear, goggles, bike in the background, lavender, orange, bright red, at the threshold of an interdimensional rift, balanced, harmonious, masterful, artistic:1.3) , wearing Lederhosen with Crystal details, Summer, in focus, award winning, Beautifully Lit, Offset print, Impasto, (art by L. S. Lowry:0.9) , anime key visual, (woman body, defined thick thighs, organically infused, cybernetic body parts, short underwear, goggles, bike in the background, lavender, orange, bright red, at the threshold of an interdimensional rift, balanced, harmonious, masterful, artistic:1.3) , wearing Lederhosen with Crystal details, Summer, in focus, award winning, Beautifully Lit, Offset print, Impasto" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
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