Instructions to use BackTo2014/DDPM-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BackTo2014/DDPM-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BackTo2014/DDPM-test", 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
Upload ckpt_141_.pt
Browse files- ckpt_141_.pt +3 -0
ckpt_141_.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4761f34b4f07dd934e49390df54a7dbde427c475a8e058a184e92242a5615f29
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size 332472058
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