Instructions to use thanhtuit96/ddpm_64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thanhtuit96/ddpm_64 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_64", 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 ·
f7221d5
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Parent(s): 5bb956a
Init
Browse files
logs/train_example/events.out.tfevents.1709739075.618af1f21133.946.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:787d5f06328edba05c3509563edf4bdc74914904d13abe18c3fff2b3453d58d0
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size 3926
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