Instructions to use puffy310/SimulacraModel-DDPM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use puffy310/SimulacraModel-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("puffy310/SimulacraModel-DDPM", torch_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
- Xet hash:
- 23b4636f504b5a7002c8c7ecd3c9736f93d9c6fb8e2eaf549d4d937dcd0ed1b0
- Size of remote file:
- 455 MB
- SHA256:
- be0ab4653444fdc4bec778dd3fabd90d709fd86f8437f399fc02495f774b701e
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