Instructions to use jasperai/flash-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jasperai/flash-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jasperai/flash-sd") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
#1
by onurxtasar - opened
- Added metrics for 4 NFE on COCO 2014 validation.
- Changed the training hours from 13 to 26. It's written 26 in Section 5.1 in the paper. I think this is the right value?
- Added Eyal's name.
clementchadebec changed pull request status to merged