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Add UniPC Scheduler

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This commit is contained in:
blessedcoolant
2023-05-11 20:52:37 +12:00
parent b0c41b4828
commit 06b5800d28
8 changed files with 67 additions and 57 deletions
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32
invokeai/app/invocations/latent.py
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@ -54,16 +54,17 @@ class NoiseOutput(BaseInvocationOutput):
# TODO: this seems like a hack
scheduler_map = dict(
ddim=diffusers.DDIMScheduler,
dpmpp_2=diffusers.DPMSolverMultistepScheduler,
k_dpm_2=diffusers.KDPM2DiscreteScheduler,
k_dpm_2_a=diffusers.KDPM2AncestralDiscreteScheduler,
k_dpmpp_2=diffusers.DPMSolverMultistepScheduler,
k_euler=diffusers.EulerDiscreteScheduler,
k_euler_a=diffusers.EulerAncestralDiscreteScheduler,
k_heun=diffusers.HeunDiscreteScheduler,
k_lms=diffusers.LMSDiscreteScheduler,
plms=diffusers.PNDMScheduler,
ddim=(diffusers.DDIMScheduler, dict()),
dpmpp_2=(diffusers.DPMSolverMultistepScheduler, dict()),
k_dpm_2=(diffusers.KDPM2DiscreteScheduler, dict()),
k_dpm_2_a=(diffusers.KDPM2AncestralDiscreteScheduler, dict()),
k_dpmpp_2=(diffusers.DPMSolverMultistepScheduler, dict()),
k_euler=(diffusers.EulerDiscreteScheduler, dict()),
k_euler_a=(diffusers.EulerAncestralDiscreteScheduler, dict()),
k_heun=(diffusers.HeunDiscreteScheduler, dict()),
k_lms=(diffusers.LMSDiscreteScheduler, dict()),
plms=(diffusers.PNDMScheduler, dict()),
unipc=(diffusers.UniPCMultistepScheduler, dict(cpu_only=True))
)
@ -73,8 +74,9 @@ SAMPLER_NAME_VALUES = Literal[
def get_scheduler(scheduler_name:str, model: StableDiffusionGeneratorPipeline)->Scheduler:
scheduler_class = scheduler_map.get(scheduler_name,'ddim')
scheduler = scheduler_class.from_config(model.scheduler.config)
scheduler_class, scheduler_extra_config = scheduler_map.get(scheduler_name,'ddim')
scheduler_config = {**model.scheduler.config, **scheduler_extra_config}
scheduler = scheduler_class.from_config(scheduler_config)
# hack copied over from generate.py
if not hasattr(scheduler, 'uses_inpainting_model'):
scheduler.uses_inpainting_model = lambda: False
@ -293,11 +295,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
latent, device=model.device, dtype=latent.dtype
)
timesteps, _ = model.get_img2img_timesteps(
self.steps,
self.strength,
device=model.device,
)
timesteps, _ = model.get_img2img_timesteps(self.steps, self.strength)
result_latents, result_attention_map_saver = model.latents_from_embeddings(
latents=initial_latents,