Instructions to use tenpha/ddpm-taobao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tenpha/ddpm-taobao with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tenpha/ddpm-taobao", 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
-
Epoch 149
2a22642 -
Epoch 140
325606e -
Epoch 130
bf07eac -
Epoch 120
b962046 -
Epoch 110
3cc400c -
Epoch 100
e966081 -
Epoch 90
03f3cab -
Epoch 80
be74e28 -
Epoch 70
6518260 -
Epoch 60
dc922a2 -
Epoch 50
bfebb1d -
Epoch 40
92ab36f -
Epoch 30
36a6258 -
Epoch 20
14a70e8 -
Epoch 10
dd5739f -
Epoch 0
35a579b -
initial commit
2ae2b10