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If using new variant of UniPCMultistepScheduler introduced via #9982 it fails with index out-of-bounds on last step
(DPM is fine, I haven't checked other supported schedulers, but DEIS and SA are likely affected as well)
Reproduction
importtorchimportdiffusersrepo_id='Efficient-Large-Model/Sana_1600M_1024px_BF16_diffusers'cache_dir='/mnt/models/Diffusers'prompt='sports cars parked in the city with people watching'negative=''dtype=torch.bfloat16device=torch.device('cuda')
pipe=diffusers.SanaPipeline.from_pretrained(repo_id, cache_dir=cache_dir, variant='bf16', torch_dtype=dtype)
pipe.scheduler=diffusers.UniPCMultistepScheduler(use_flow_sigmas=True, prediction_type='flow_prediction')
pipe=pipe.to(device=device, dtype=dtype)
result=pipe(
prompt=prompt,
negative_prompt=negative,
)
image=result.images[0]
image.save('/tmp/sana.png')
Logs
File "/home/vlado/dev/sdnext/venv/lib/python3.12/site-packages/diffusers/pipelines/sana/pipeline_sana.py", line 819, in __call__
latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vlado/dev/sdnext/venv/lib/python3.12/site-packages/diffusers/schedulers/scheduling_unipc_multistep.py", line 999, in step
prev_sample = self.multistep_uni_p_bh_update(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vlado/dev/sdnext/venv/lib/python3.12/site-packages/diffusers/schedulers/scheduling_unipc_multistep.py", line 688, in multistep_uni_p_bh_update
sigma_t, sigma_s0 = self.sigmas[self.step_index + 1], self.sigmas[self.step_index]
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
IndexError: index 20 is out of bounds for dimension 0 with size 20
Describe the bug
If using new variant of
UniPCMultistepScheduler
introduced via #9982 it fails with index out-of-bounds on last step(DPM is fine, I haven't checked other supported schedulers, but DEIS and SA are likely affected as well)
Reproduction
Logs
System Info
diffusers==0.32.dev
Who can help?
@hlky @a-r-r-o-w @lawrence-cj
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