Instructions to use thanhtuit96/ddpm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thanhtuit96/ddpm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("thanhtuit96/ddpm", 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 Β·
1c8e103
1
Parent(s): e6572a4
Epoch 2159
Browse files- .gitattributes +1 -0
- {checkpoint-105000 β checkpoint-108000}/model.safetensors +1 -1
- {checkpoint-105000 β checkpoint-108000}/optimizer.bin +1 -1
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- {checkpoint-105000 β checkpoint-108000}/scheduler.bin +1 -1
- logs/train_example/events.out.tfevents.1709280736.53870a78d9f0.34.0 +2 -2
- samples/2159.png +3 -0
- unet/diffusion_pytorch_model.safetensors +1 -1
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