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", 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
Download .gitattributes from fal/dreamshaper-xl-lightning-flashpack: direct link, hf CLI and curl.
- Browser
- Download file 245 Bytes
-
https://huggingface.co/fal/dreamshaper-xl-lightning-flashpack/resolve/main/.gitattributes
- Command line
-
hf download hf://fal/dreamshaper-xl-lightning-flashpack/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/fal/dreamshaper-xl-lightning-flashpack/resolve/main/.gitattributes
245 Bytes
| vae/model.flashpack filter=lfs diff=lfs merge=lfs -text | |
| text_encoder/model.flashpack filter=lfs diff=lfs merge=lfs -text | |
| text_encoder_2/model.flashpack filter=lfs diff=lfs merge=lfs -text | |
| unet/model.flashpack filter=lfs diff=lfs merge=lfs -text | |