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Fix cpu_only schedulers(unipc)

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Sergey Borisov
2023-08-14 05:14:05 +03:00
parent 58d5c61c79
commit 409e5d01ba
1 changed files with 6 additions and 5 deletions
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11
invokeai/app/invocations/latent.py
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@ -326,12 +326,13 @@ class DenoiseLatentsInvocation(BaseInvocation):
# original idea by https://github.com/AmericanPresidentJimmyCarter # original idea by https://github.com/AmericanPresidentJimmyCarter
# TODO: research more for second order schedulers timesteps # TODO: research more for second order schedulers timesteps
def init_scheduler(self, scheduler, device, steps, denoising_start, denoising_end): def init_scheduler(self, scheduler, device, steps, denoising_start, denoising_end):
if scheduler.config.get("cpu_only", False):
device = torch.device("cpu")
num_inference_steps = steps num_inference_steps = steps
scheduler.set_timesteps(num_inference_steps, device=device) if scheduler.config.get("cpu_only", False):
timesteps = scheduler.timesteps scheduler.set_timesteps(num_inference_steps, device="cpu")
timesteps = scheduler.timesteps.to(device=device)
else:
scheduler.set_timesteps(num_inference_steps, device=device)
timesteps = scheduler.timesteps
# apply denoising_start # apply denoising_start
t_start_val = int(round(scheduler.config.num_train_timesteps * (1 - denoising_start))) t_start_val = int(round(scheduler.config.num_train_timesteps * (1 - denoising_start)))