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·
fbc1821
1
Parent(s): d0ca0ce
Epoch 2429
Browse files- .gitattributes +1 -0
- {checkpoint-118500 β checkpoint-121500}/model.safetensors +1 -1
- {checkpoint-118500 β checkpoint-121500}/optimizer.bin +1 -1
- {checkpoint-118500 β checkpoint-121500}/random_states_0.pkl +0 -0
- {checkpoint-118500 β checkpoint-121500}/scaler.pt +1 -1
- {checkpoint-118500 β checkpoint-121500}/scheduler.bin +1 -1
- logs/train_example/events.out.tfevents.1709306622.53870a78d9f0.34.1 +3 -0
- samples/2429.png +3 -0
- unet/diffusion_pytorch_model.safetensors +1 -1
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