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 text_encoder/pytorch_model.bin from Lykon/DreamShaper: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Lykon/DreamShaper/resolve/refs%2Fpr%2F14/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Lykon/DreamShaper@refs/pr/14/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Lykon/DreamShaper/resolve/refs%2Fpr%2F14/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 6f1e2707256b01965d65a48bf0a1944e4f22d49d965dfaded3e3deb0131927d5
- Size of remote file:
- 492 MB
- SHA256:
- 5303edc55da8b28050e2d3ceab896b28c09bac1ec2186bb82a4f775cfe4200aa
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