Instructions to use serhatkurt/ddim-faces with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use serhatkurt/ddim-faces with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("serhatkurt/ddim-faces", 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 49
41e07ac -
Epoch 39
8585aab -
Epoch 29
40ba992 -
Epoch 19
ea3b81e -
Epoch 9
b588954
-
Epoch 49
6983eeb -
Epoch 39
d6f18fd -
Epoch 29
20b4a36 -
Epoch 19
7423983 -
Epoch 9
9fec227 -
Epoch 99
91bcf66 -
Epoch 89
3920b3a -
Epoch 79
3792dbf -
Epoch 69
05b94a1 -
Epoch 59
dece813 -
Epoch 49
603be52 -
Epoch 39
7e8285a -
Epoch 29
5e821ec -
Epoch 19
08c380c -
Epoch 9
18945eb
-
Epoch 29
bdee4b1 -
Epoch 49
fe22776 -
Epoch 39
3e11cb3 -
Epoch 29
3832898 -
Epoch 19
c73aa3d -
Epoch 9
f622c89 -
Epoch 49
9d25a34 -
Epoch 39
ec0afad -
Epoch 29
7ea3011 -
Epoch 19
6162db8 -
Epoch 9
e38dab0
-
Epoch 49
202c556 -
Epoch 29
18fdea2
-
Epoch 49
48f036b -
Epoch 29
7c7d3d5