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Make denoised output on custom sampler nodes work with nested tensors. (#11471)

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comfyanonymous
2025-12-22 13:43:24 -08:00
committed by GitHub
parent eb0e10aec4
commit 33aa808713
1 changed files with 10 additions and 2 deletions
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12
comfy_extras/nodes_custom_sampler.py
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@@ -760,8 +760,12 @@ class SamplerCustom(io.ComfyNode):
out = latent.copy() out = latent.copy()
out["samples"] = samples out["samples"] = samples
if "x0" in x0_output: if "x0" in x0_output:
x0_out = model.model.process_latent_out(x0_output["x0"].cpu())
if samples.is_nested:
latent_shapes = [x.shape for x in samples.unbind()]
x0_out = comfy.nested_tensor.NestedTensor(comfy.utils.unpack_latents(x0_out, latent_shapes))
out_denoised = latent.copy() out_denoised = latent.copy()
out_denoised["samples"] = model.model.process_latent_out(x0_output["x0"].cpu()) out_denoised["samples"] = x0_out
else: else:
out_denoised = out out_denoised = out
return io.NodeOutput(out, out_denoised) return io.NodeOutput(out, out_denoised)
@@ -948,8 +952,12 @@ class SamplerCustomAdvanced(io.ComfyNode):
out = latent.copy() out = latent.copy()
out["samples"] = samples out["samples"] = samples
if "x0" in x0_output: if "x0" in x0_output:
x0_out = guider.model_patcher.model.process_latent_out(x0_output["x0"].cpu())
if samples.is_nested:
latent_shapes = [x.shape for x in samples.unbind()]
x0_out = comfy.nested_tensor.NestedTensor(comfy.utils.unpack_latents(x0_out, latent_shapes))
out_denoised = latent.copy() out_denoised = latent.copy()
out_denoised["samples"] = guider.model_patcher.model.process_latent_out(x0_output["x0"].cpu()) out_denoised["samples"] = x0_out
else: else:
out_denoised = out out_denoised = out
return io.NodeOutput(out, out_denoised) return io.NodeOutput(out, out_denoised)