Instructions to use madebyollin/taesd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use madebyollin/taesd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("madebyollin/taesd", 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
Commit History
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TAESD 1.3 "Mocha Croissant" edition
9565f93
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Upload 4 files
TAESD 1.2 "Chocolate-Dipped Shortbread" edition931366c
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TAESD 1.1 "Fruit Loops" edition
fc64f52
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add diffusers compatible parameters (#1)
- add: diffusers compatible variant (f4a5c744c09b16bba019971e6fdb156bd633332b) Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>21efc66