Instructions to use jasperai/flash-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jasperai/flash-sd3 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-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jasperai/flash-sd3") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 827e5aa84cdf63ea3b51b154b2f77dcd5dd6a00ae4a7443784b8b384457698dc
- Size of remote file:
- 26.1 MB
- SHA256:
- d2e382fb2c1daa5ad17949a2753a7101731398adb2446c8874531aab724ff585
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