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Unverified Commit e05ca84f authored by Anton Lozhkov's avatar Anton Lozhkov Committed by GitHub
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[ONNX] Support Euler schedulers (#1328)

parent 632dacea
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Showing with 12 additions and 6 deletions
src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py
View file @ e05ca84f
...@@ -261,8 +261,10 @@ class OnnxStableDiffusionPipeline(DiffusionPipeline): ...@@ -261,8 +261,10 @@ class OnnxStableDiffusionPipeline(DiffusionPipeline):
noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond) noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
# compute the previous noisy sample x_t -> x_t-1 # compute the previous noisy sample x_t -> x_t-1
latents = self.scheduler.step(noise_pred, t, torch.from_numpy(latents), **extra_step_kwargs).prev_sample scheduler_output = self.scheduler.step(
latents = np.array(latents) torch.from_numpy(noise_pred), t, torch.from_numpy(latents), **extra_step_kwargs
)
latents = scheduler_output.prev_sample.numpy()
# call the callback, if provided # call the callback, if provided
if callback is not None and i % callback_steps == 0: if callback is not None and i % callback_steps == 0:
......
src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py
View file @ e05ca84f
...@@ -401,8 +401,10 @@ class OnnxStableDiffusionImg2ImgPipeline(DiffusionPipeline): ...@@ -401,8 +401,10 @@ class OnnxStableDiffusionImg2ImgPipeline(DiffusionPipeline):
noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond) noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
# compute the previous noisy sample x_t -> x_t-1 # compute the previous noisy sample x_t -> x_t-1
latents = self.scheduler.step(noise_pred, t, torch.from_numpy(latents), **extra_step_kwargs).prev_sample scheduler_output = self.scheduler.step(
latents = latents.numpy() torch.from_numpy(noise_pred), t, torch.from_numpy(latents), **extra_step_kwargs
)
latents = scheduler_output.prev_sample.numpy()
# call the callback, if provided # call the callback, if provided
if callback is not None and i % callback_steps == 0: if callback is not None and i % callback_steps == 0:
......
src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py
View file @ e05ca84f
...@@ -424,8 +424,10 @@ class OnnxStableDiffusionInpaintPipeline(DiffusionPipeline): ...@@ -424,8 +424,10 @@ class OnnxStableDiffusionInpaintPipeline(DiffusionPipeline):
noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond) noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
# compute the previous noisy sample x_t -> x_t-1 # compute the previous noisy sample x_t -> x_t-1
latents = self.scheduler.step(noise_pred, t, torch.from_numpy(latents), **extra_step_kwargs).prev_sample scheduler_output = self.scheduler.step(
latents = latents.numpy() torch.from_numpy(noise_pred), t, torch.from_numpy(latents), **extra_step_kwargs
)
latents = scheduler_output.prev_sample.numpy()
# call the callback, if provided # call the callback, if provided
if callback is not None and i % callback_steps == 0: if callback is not None and i % callback_steps == 0:
......
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