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work on convert-to-modular

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2026-08-29 14:12:01 +02:00
parent 62bedf8834
commit 34a3155f96
8 changed files with 32 additions and 43 deletions
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modules/processing_diffusers.py
+5 -3
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@@ -469,9 +469,11 @@ def process_decode(p: processing.StableDiffusionProcessing, output):
if not hasattr(output, 'images') and hasattr(output, 'frames'):
log.debug(f'Generated: frames={len(output.frames[0])}')
output.images = output.frames[0]
if getattr(p, 'video_still', False) and hasattr(output, 'images') and output.images is not None:
if hasattr(output, 'latents') and hasattr(output, 'images') and (output.images is None):
output.images = output.latents # modular pipelines may return latents instead of images
if getattr(p, 'video_still', False) and hasattr(output, 'images') and (output.images is not None):
output.images = output.images[:1] # only the first frame derives from real latents; the rest decode from padding
if output.images is not None and len(output.images) > 0 and isinstance(output.images[0], Image.Image):
if (output.images is not None) and (len(output.images) > 0) and isinstance(output.images[0], Image.Image):
sd_models.offload_ondemand(shared.sd_model) # in-pipe decode paths return materialized frames; the vae seam in processing_vae never runs
return attach_audio(output.images, audio)
model = shared.sd_model if not is_refiner_enabled(p) else shared.sd_refiner
@@ -622,7 +624,7 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
images = shared.history.last_latent
output = SimpleNamespace(images=images) if images is not None else None
if (output is None or (hasattr(output, 'images') and len(output.images) == 0)) and has_images:
if (output is None or (hasattr(output, 'images') and (output.images is None or len(output.images) == 0))) and has_images:
if output is not None:
log.debug('Processing: using input as base output')
output.images = p.init_images