Instructions to use marcelittle/ddr_train_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marcelittle/ddr_train_3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marcelittle/ddr_train_3", 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 199
158c851 -
Epoch 190
7e118d4 -
Epoch 180
1c4aa2a -
Epoch 170
448b991 -
Epoch 160
bc23746 -
Epoch 150
baa5aa2 -
Epoch 140
8753545 -
Epoch 130
54c3e99 -
Epoch 120
d0b37a5 -
Epoch 110
ffaafbd -
Epoch 100
641198d -
Epoch 90
13cec25 -
Epoch 80
a92ede0 -
Epoch 70
09f676c -
Epoch 60
b895566 -
Epoch 50
034ad2c -
Epoch 40
488ff03 -
Epoch 30
db372ab -
Epoch 20
5a5698e -
Epoch 10
bda1f20 -
Epoch 0
6b0b3dc -
initial commit
5ecd25b