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 checkpointd773ddd
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DreamShaper upload (#37)
- DreamShaper upload (8f54af4338adfeea8af88fdfdb2c34f5971cce65)c584f65
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DreamShaper upload (#25)
- DreamShaper upload (556e17c46ebb0edb1c8ae321474bea618f537167) Co-authored-by: Greg Hunkins <ghunkins@users.noreply.huggingface.co>ed5420b
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v4 vae
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fix
7a143a7
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add diffusers and readme
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