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
Ctrl+K
- checkpoint-11800
- checkpoint-14160
- checkpoint-16520
- checkpoint-18880
- checkpoint-21240
- checkpoint-2360
- checkpoint-23600
- checkpoint-4720
- checkpoint-7080
- checkpoint-9440
- epoch-0
- epoch-10
- epoch-100
- epoch-110
- epoch-120
- epoch-130
- epoch-140
- epoch-150
- epoch-160
- epoch-170
- epoch-180
- epoch-190
- epoch-199
- epoch-20
- epoch-30
- epoch-40
- epoch-50
- epoch-60
- epoch-70
- epoch-80
- epoch-90
- logs
- 1.52 kB