Fix ignored generator in FlowMatchEulerDiscreteScheduler#13678
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It seems github doesn't like I had a previous repository with the same name and keeps overriding it? It's closing this automatically for some reason. Edit: skill-issue. I had a push-mirror that overwrote the whole repo. All good now. |
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note: this may cause the output of a previous LTX checkpoint to change |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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What does this PR do?
FlowMatchEulerDiscreteScheduler.step()accepts a generator argument, but whenstochastic_sampling=Trueit calls plaintorch.randn_like(sample)instead of using the generator. This makes results non-deterministic even with a fixed seed.This PR replaces
torch.randn_likecall with the existingrandn_tensor(..., generator=generator, device=sample.device, dtype=sample.dtype)so the scheduler respects the passed generator in the stochastic sampling path, consistent with how other schedulers in diffusers handle randomness.I'm using z-image with
euler_ancestralwhich gave me inconsistent results, which led me to to fixing it.Simple reproduce script
Before submitting
Who can review?
Anyone in the community is free to review the PR once the tests have passed.
Core library:
(Sorry for the spam ping re-do, it looks like github overwrote main with a previous repository I had hosted under the same name.. This time it's from a branch in my fork)