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
Commit History
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DreamShaper upload
Add Diffusers weights converted from checkpoint556e17c
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v4 vae
4faa305
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Add `scale_factor` to vae config. (#9)
- Add `scale_factor` to vae config. (69b3b7c72e27a0cd04346ab288e03e44942af1ff) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>6d9f350
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fix
7a143a7
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add diffusers and readme
2703841