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
| { | |
| "source_repo": "Lykon/dreamshaper-xl-lightning", | |
| "source_revision": "561086c22aba3925b1e8803a73857f061635c7c3", | |
| "dtype": "float16", | |
| "components": null, | |
| "variant": null, | |
| "include_root": false, | |
| "ignore_names": [], | |
| "ignore_prefixes": [], | |
| "ignore_suffixes": [], | |
| "script_sha256": "2c95b4abc00b6a14d84e004580f775df0492a523cac40c2ac45a90c405d68dda", | |
| "n_packs": 4, | |
| "total_pack_bytes": 6937985109 | |
| } |