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:
- 5bf8e92a8fd9fec7f3a99d2a82f331361b66d46d34c28084ac82b22ca0f10cf8
- Size of remote file:
- 351 MB
- SHA256:
- 85fce13c36e3739aa42930f745eb9fceb6c53d53fb17e2a687e3234c1a58ee15
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