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`seed` missing from `StableDiffusionPipeline()` v2*?

See original GitHub issue

It appears that the seed argument is missing from v2* of StableDiffusionPipeline().

https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py#L397

If this is correct, I recommend editing the generator: Optional[torch.Generator] = None to include the option of a user-defined seed, such as generator: Optional[torch.Generator().manual_seed(seed)] = None, where the seed value is a separate argument for the StableDiffusionPipeline() __call__() and seed: int = None is the default. This change will enable the reproducible generation of outputs from the same input parameters.

https://pytorch.org/docs/stable/generated/torch.Generator.html

Thanks!

Issue Analytics

State:
Created 9 months ago
Comments:5 (1 by maintainers)

Top GitHub Comments

3reactions

averadcommented, Dec 15, 2022

Try:

generator = torch.Generator(device="cuda").manual_seed(8)
image = pipeline(prompt, generator=generator).images[0]

https://huggingface.co/docs/diffusers/main/en/using-diffusers/schedulers#access-the-scheduler

1reaction

patrickvonplatencommented, Dec 20, 2022

Also linking this doc page on generating the same output batched vs. non-batched with a reproducible seed: https://huggingface.co/docs/diffusers/using-diffusers/reusing_seeds

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