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[BUG] fixes in kadinsky pipeline #11080

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Merged
merged 8 commits into from
Apr 21, 2025
Merged

[BUG] fixes in kadinsky pipeline #11080

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4f3bd13
bug fix kadinsky pipeline
ishan-modi Mar 17, 2025
e8e29ac
code quality updates
ishan-modi Mar 17, 2025
b24c6a8
update
ishan-modi Mar 17, 2025
e6fa809
update
ishan-modi Apr 9, 2025
32a5c8a
addressed PR comments
ishan-modi Apr 10, 2025
cdd54f4
addressed PR comments
ishan-modi Apr 10, 2025
410bc5a
update
ishan-modi Apr 10, 2025
237e502
Merge branch 'main' into fixes-issue-11060
ishan-modi Apr 19, 2025
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7 changes: 6 additions & 1 deletion src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -367,11 +367,16 @@ def __call__(
if XLA_AVAILABLE:
xm.mark_step()

if output_type not in ["pt", "np", "pil", "latent"]:
raise ValueError(
f"Only the output types `pt`, `pil`, `np` and `latent` are supported not output_type={output_type}"
)
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This can be removed. Refer to other pipelines for an example.

diffusers/src/diffusers/pipelines/flux/pipeline_flux.py

Lines 974 to 981 in 31c4f24

if output_type == "latent":
image = latents
else:
latents = self._unpack_latents(latents, height, width, self.vae_scale_factor)
latents = (latents / self.vae.config.scaling_factor) + self.vae.config.shift_factor
image = self.vae.decode(latents, return_dict=False)[0]
image = self.image_processor.postprocess(image, output_type=output_type)


if not output_type == "latent":
image = self.movq.decode(latents, force_not_quantize=True)["sample"]
image = self.image_processor.postprocess(image, output_type)
else:
image = latents
image = self.image_processor.postprocess(image, output_type)

# Offload all models
self.maybe_free_model_hooks()
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7 changes: 6 additions & 1 deletion src/diffusers/pipelines/kandinsky3/pipeline_kandinsky3_img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -620,11 +620,16 @@ def __call__(
xm.mark_step()

# post-processing
if output_type not in ["pt", "np", "pil", "latent"]:
raise ValueError(
f"Only the output types `pt`, `pil`, `np` and `latent` are supported not output_type={output_type}"
)

if not output_type == "latent":
image = self.movq.decode(latents, force_not_quantize=True)["sample"]
image = self.image_processor.postprocess(image, output_type)
else:
image = latents
image = self.image_processor.postprocess(image, output_type)

self.maybe_free_model_hooks()

Expand Down