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:
- 1d1d48181927ada75a190cf4e7276dcc77114f3a39fbb05d474ff07f8f1a8216
- Size of remote file:
- 26.1 MB
- SHA256:
- 22bd2f4ed7c8fd27c8b88918fe7714ab353fb10a612d432bb4fc1182ed10178f
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