8018578059
video processing preserve audio
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2026-07-27 14:23:14 +02:00
53e69c7ec2
seedvr enhancements
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2026-07-21 15:59:45 +02:00
1281cf8132
add process video
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2026-07-20 21:44:43 +02:00
8c0cd148be
fix seedvr-7b
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2026-07-19 12:07:34 +02:00
42cb4cf489
explicit seedvr implementation
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2026-07-18 10:35:07 +02:00
81437ff051
cleanup seedvr
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2026-06-23 13:55:47 +02:00
0769d423a7
fix(upscale): make SeedVR2 generation_step patch idempotent
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UpscalerSeedVR.load_model() rebinds the module-global
generation.generation_step (called by name inside generation_loop) to
the instance's model_step wrapper, keeping the previous value to call
back into. That global was never restored, so the second pass through
load_model() saved the wrapper itself as the "original", making
model_step() call itself -> RecursionError.
The second pass is reached on any model (re)load: with upscaler_unload
enabled (self.model reset to None after each run) every subsequent run
recurses, and switching SeedVR variants (self.model_loaded != model_name)
triggers it even without unload.
Stash the pristine generation_step on the module once and have the
wrapper call that, so repeated loads never wrap the wrapper.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
2026-06-16 10:18:21 +01:00
8a8d99019a
fix: dead hasattr-on-dict path, double video-vae normalization, undefined self.device, hyimage if/elif, attention-mask attr typo, wrong face logged
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Co-Authored-By: Claude <noreply@anthropic.com >
2026-06-12 13:00:57 -04:00
ccd3e2e489
cleanup settings
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Signed-off-by: vladmandic <mandic00@live.com >
2026-02-12 10:30:39 +01:00
da1cf2f996
refactor image methods
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Signed-off-by: vladmandic <mandic00@live.com >
2026-02-11 12:29:00 +01:00
76aa949a26
refactor: integrate sharpfin for high-quality image resize
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Vendor sharpfin library (Apache 2.0) and add centralized wrapper
module (images_sharpfin.py) replacing torchvision tensor/PIL
conversion and resize operations throughout the codebase.
- Add modules/sharpfin/ vendored library with MKS2021, Lanczos3,
Mitchell, Catmull-Rom kernels and optional Triton sparse acceleration
- Add modules/images_sharpfin.py wrapper with to_tensor(), to_pil(),
pil_to_tensor(), normalize(), resize(), resize_tensor()
- Add resize_quality and resize_linearize_srgb settings
- Add MKS2021 and Lanczos3 upscaler entries
- Replace torchvision.transforms.functional imports across 18 files
- to_pil() auto-detects HWC/BHWC layout, adds .round() before uint8
- Sparse Triton path falls back to dense GPU on compilation failure
- Mixed-axis resize splits into two single-axis scale() calls
- Masks and non-sRGB data always use linearize=False
2026-02-11 09:57:37 +01:00
85a58ed5bf
seedvr enable quant
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2025-10-14 10:23:12 -04:00
f3b4ef2551
simplify seedvr depedencies
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2025-10-13 10:20:42 -04:00
32014fbb9d
seedvr requirements
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2025-10-13 10:04:01 -04:00
2e4e741d47
seedvt2
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2025-10-12 15:35:08 -04:00
eaa7dc119b
prototype seedvr
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Signed-off-by: Vladimir Mandic <mandic00@live.com >
2025-10-11 18:35:43 -04:00
Vladimir Mandic
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