{"schema":"record/v1","id":"art_01M5NBG0SPZQV2DWK3170Z0XQT","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How does a local generative video upscaler (Wan 2.2 tiled) compare with Topaz and FlashVSR, and what settings matter?","summary":"Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2025-11-25): Wan 2.2 low-noise model in 81-frame batches with overlap blending and tiling; FP8 for 24 GB+ GPUs, otherwise GGUF sized to VRAM (Q5 for 12 GB; he uses Q8); LightX2V low-noise LoRA for fewer steps; optional realism LoRA; an ESRGAN-style pre-upscaler; auto-captioned prompt. Settings: target 2K as a good default; a quality pass adds ~30% quality for ~2x time (skip at 4K); \"creativity\" (denoise) low for fidelity, higher for degraded footage (risk visible tiles/subject change); save frames as fallback because stitching very long 4K outputs can crash ComfyUI. ~10 minutes for 81 frames; RunPod RTX 5090 ~$0.89/h. His comparisons: his 2K beat Topaz 4K o...","status":"active","body":{"text":"Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated.\n\nMickmumpitz (2025-11-25): Wan 2.2 low-noise model in 81-frame batches with overlap blending and tiling; FP8 for 24 GB+ GPUs, otherwise GGUF sized to VRAM (Q5 for 12 GB; he uses Q8); LightX2V low-noise LoRA for fewer steps; optional realism LoRA; an ESRGAN-style pre-upscaler; auto-captioned prompt. Settings: target 2K as a good default; a quality pass adds ~30% quality for ~2x time (skip at 4K); \"creativity\" (denoise) low for fidelity, higher for degraded footage (risk visible tiles/subject change); save frames as fallback because stitching very long 4K outputs can crash ComfyUI. ~10 minutes for 81 frames; RunPod RTX 5090 ~$0.89/h. His comparisons: his 2K beat Topaz 4K on very poor footage; FlashVSR (via Pinokio) is more faithful and sharper on decent 720p input but struggles with very low quality. Use generative upscaling for AI-generated or badly degraded footage, faithful upscalers when accuracy matters.\n\nCurator qualifications: Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Video metadata checked; documentation excerpts (if any) located; creator statements not curator-verified.\n\nLimitations: Creator statements were read by discovery from auto-captions (ASR) in a browser panel; not re-verified by the curator. Comparisons by eye on his chosen clips; no metric; Topaz model/version unstated.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://www.youtube.com/watch?v=NpNagmQI4yg","note":"0:00-2:34; 2:34-5:10; 7:45"}]},"categories":["T06","T09","T10"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"metadata_checked","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://www.youtube.com/watch?v=NpNagmQI4yg","claim":"Mickmumpitz (2025-11-25): Wan 2.2 low-noise model in 81-frame batches with overlap blending and tiling; FP8 for 24 GB+ GPUs, otherwise GGUF sized to VRAM (Q5 for 12 GB; he uses Q8); LightX2V low-noise LoRA for fewer steps; optional realism LoRA; an ESRGAN-style pre-upscaler; auto-captioned prompt. Settings: target 2K as a good default; a quality pass adds ~30% quality for ~2x time (skip at 4K); \"creativity\" (denoise) low for fidelity, higher for degraded footage (risk visible tiles/subject change); save frames as fallback because stitching very long 4K outputs can crash ComfyUI. ~10 minutes for 81 frames; RunPod RTX 5090 ~$0.89/h. His comparisons: his 2K beat Topaz 4K on very poor footage; FlashVSR (via Pinokio) is more faithful and sharper on decent 720p input but struggles with very low quality. Use generative upscaling for AI-generated or badly degraded footage, faithful upscalers when accuracy matters.","locator":"0:00-2:34; 2:34-5:10; 7:45","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-7cb5facc2d4700bd498fe78cdf344c8110a3f805/record.json#p-7cb5facc2d4700bd498fe78cdf344c8110a3f805/record","import_batch_id":"pipe-307eeb5e80feba01c1ad5f95cadd1c9a91659c92","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-307eeb5e80feba01c1ad5f95cadd1c9a91659c92","original":{"body":{"text":"Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated.\n\nMickmumpitz (2025-11-25): Wan 2.2 low-noise model in 81-frame batches with overlap blending and tiling; FP8 for 24 GB+ GPUs, otherwise GGUF sized to VRAM (Q5 for 12 GB; he uses Q8); LightX2V low-noise LoRA for fewer steps; optional realism LoRA; an ESRGAN-style pre-upscaler; auto-captioned prompt. Settings: target 2K as a good default; a quality pass adds ~30% quality for ~2x time (skip at 4K); \"creativity\" (denoise) low for fidelity, higher for degraded footage (risk visible tiles/subject change); save frames as fallback because stitching very long 4K outputs can crash ComfyUI. ~10 minutes for 81 frames; RunPod RTX 5090 ~$0.89/h. His comparisons: his 2K beat Topaz 4K on very poor footage; FlashVSR (via Pinokio) is more faithful and sharper on decent 720p input but struggles with very low quality. Use generative upscaling for AI-generated or badly degraded footage, faithful upscalers when accuracy matters.\n\nCurator qualifications: Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Video metadata checked; documentation excerpts (if any) located; creator statements not curator-verified.\n\nLimitations: Creator statements were read by discovery from auto-captions (ASR) in a browser panel; not re-verified by the curator. Comparisons by eye on his chosen clips; no metric; Topaz model/version unstated.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://www.youtube.com/watch?v=NpNagmQI4yg","note":"0:00-2:34; 2:34-5:10; 7:45"}]},"tags":[],"type":"article","links":[],"title":"How does a local generative video upscaler (Wan 2.2 tiled) compare with Topaz and FlashVSR, and what settings matter?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Mickmumpitz (2025-11-25): Wan 2.2 low-noise model in 81-frame batches with overlap blending and tiling; FP8 for 24 GB+ GPUs, otherwise GGUF sized to VRAM (Q5 for 12 GB; he uses Q8); LightX2V low-noise LoRA for fewer steps; optional realism LoRA; an ESRGAN-style pre-upscaler; auto-captioned prompt. Settings: target 2K as a good default; a quality pass adds ~30% quality for ~2x time (skip at 4K); \"creativity\" (denoise) low for fidelity, higher for degraded footage (risk visible tiles/subject change); save frames as fallback because stitching very long 4K outputs can crash ComfyUI. ~10 minutes for 81 frames; RunPod RTX 5090 ~$0.89/h. His comparisons: his 2K beat Topaz 4K o...","evidence":{"claims":[{"url":"https://www.youtube.com/watch?v=NpNagmQI4yg","claim":"Mickmumpitz (2025-11-25): Wan 2.2 low-noise model in 81-frame batches with overlap blending and tiling; FP8 for 24 GB+ GPUs, otherwise GGUF sized to VRAM (Q5 for 12 GB; he uses Q8); LightX2V low-noise LoRA for fewer steps; optional realism LoRA; an ESRGAN-style pre-upscaler; auto-captioned prompt. Settings: target 2K as a good default; a quality pass adds ~30% quality for ~2x time (skip at 4K); \"creativity\" (denoise) low for fidelity, higher for degraded footage (risk visible tiles/subject change); save frames as fallback because stitching very long 4K outputs can crash ComfyUI. ~10 minutes for 81 frames; RunPod RTX 5090 ~$0.89/h. His comparisons: his 2K beat Topaz 4K on very poor footage; FlashVSR (via Pinokio) is more faithful and sharper on decent 720p input but struggles with very low quality. Use generative upscaling for AI-generated or badly degraded footage, faithful upscalers when accuracy matters.","locator":"0:00-2:34; 2:34-5:10; 7:45","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"metadata_checked","execution_record_ids":[]},"language":"en","categories":["T06","T09","T10"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":[],"confidence":"Comparisons by eye on his chosen clips; no metric; Topaz model/version unstated.","limitations":["Creator statements were read by discovery from auto-captions (ASR) in a browser panel; not re-verified by the curator.","Comparisons by eye on his chosen clips; no metric; Topaz model/version unstated.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. Original evidence pins: V2: no byte pin recorded (unknown)"],"observed_at":"2026-10-23T10:56:44.000Z","source_pins":[{"locator":"0:00-2:34; 2:34-5:10; 7:45","source_id":"src:9c5c7a18b532caece0803454","version_id":"ver:e6b8140bc72b9a57ae8a24fa","observed_at":"2026-10-23T10:56:44.000Z","canonical_url":"https://www.youtube.com/watch?v=NpNagmQI4yg","version_sha256":"c07cb0be537594c96c77a225975f09aaa487017b14b868de9bfd4e690c97b25b"}],"candidate_id":"C3-B341-02","claim_status":"source_fact","rights_basis":"Original curator/discovery summary with short quotations; public sources; source rights unchanged and not cleared for reuse of the source itself.","qualification":"shared_operator_desk_qa","supersedes_sha256":null}},"visibility":"public","attribution":{"origin":"research_agent","upstream_url":null,"imported_from":null,"upstream_owner":null,"import_batch_id":null}},"observed_on":null,"original_id":"p-7cb5facc2d4700bd498fe78cdf344c8110a3f805/record","source_file":"records/p-7cb5facc2d4700bd498fe78cdf344c8110a3f805/record.json","research_side":{},"source_schema":"create-record-input/v1","original_sha256":"0ba8aa3d30555260cfc9fea52fe113d7734950f2d5f8119ab35f2875c643e024","unmapped_fields":[]}],"publication":{"rule":"item_visibility","policy":"l05-publication/1","visibility":"public"}},"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":[],"confidence":"Comparisons by eye on his chosen clips; no metric; Topaz model/version unstated.","limitations":["Creator statements were read by discovery from auto-captions (ASR) in a browser panel; not re-verified by the curator.","Comparisons by eye on his chosen clips; no metric; Topaz model/version unstated.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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