Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-diffusers
stable-diffusion-xl
stable-diffusion-xl-lightning
art
artistic
anime
dreamshaper
turbo
lcm
Instructions to use fal/dreamshaper-xl-lightning-flashpack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/dreamshaper-xl-lightning-flashpack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/dreamshaper-xl-lightning-flashpack", torch_dtype=torch.bfloat16, device_map="cuda") 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:
- 36e0d3c5727d1ed090f3df9bc1f9fe29a5a5124535b292fe4e938cb8fc57b6c3
- Size of remote file:
- 167 MB
- SHA256:
- 3eab0a98d55e16d787c13638c3dfea745506e82a37ff5844d99de8817623cc08
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