Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
anime
Instructions to use Lykon/DreamShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lykon/DreamShaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/DreamShaper", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download FastNegativeEmbedding.pt from Lykon/DreamShaper: direct link, hf CLI and curl.
- Browser
- Download file 161 kB
-
https://huggingface.co/Lykon/DreamShaper/resolve/refs%2Fpr%2F37/FastNegativeEmbedding.pt
- Command line
-
hf download hf://Lykon/DreamShaper@refs/pr/37/FastNegativeEmbedding.pt
-
curl -L -o FastNegativeEmbedding.pt https://huggingface.co/Lykon/DreamShaper/resolve/refs%2Fpr%2F37/FastNegativeEmbedding.pt
161 kB
- Xet hash:
- 34e05d3b30bdaf2d72cfe3a2ccf9c76735583f4c5fdcc403de0086eaa1627569
- Size of remote file:
- 161 kB
- SHA256:
- 687b669d8234a418005ca9bfda93464b1721285b0a6a8d92490df0f02124ab7c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.