{"schema":"record/v1","id":"art_01M5NQ0ZT3E8WC3WG8W75Q8CWH","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What does Comfy's own upscaling handbook say about choosing and preparing upscalers for image and video, and how strong is that evidence?","summary":"Problem. Choosing between conservative and creative upscalers and avoiding wasted passes. Conditions. Comfy blog post dated 2026-02-06; vendor-authored, qualitative side-by-side comparisons, includes partner-node (paid API) and local open models. Method. The post's takeaways: choose by use case (portrait skin, product photography needing faithful labels and edges, landscapes, illustration, archival video, CGI); conservative models for faithful materials and text; do not rely on upscaling to fix common AI artifacts; for SeedVR2 downscaling to about 0.35 megapixels with ImageScaleToTotalPixels before upscaling gives better results (its claim); video options named include SeedVR2, FlashVSR, HitPaw, Topaz Astra and Wan 2.2 upscale, with workflow downloads provided. Failure modes. Hallucinated detail from creative models; generation time varies strongly by model and hardware (the post lists per-model times without hardware or n for most items). Limitations. No objective metrics (PSNR/LPI...","status":"active","body":{"text":"Problem. Choosing between conservative and creative upscalers and avoiding wasted passes. Conditions. Comfy blog post dated 2026-02-06; vendor-authored, qualitative side-by-side comparisons, includes partner-node (paid API) and local open models. Method. The post's takeaways: choose by use case (portrait skin, product photography needing faithful labels and edges, landscapes, illustration, archival video, CGI); conservative models for faithful materials and text; do not rely on upscaling to fix common AI artifacts; for SeedVR2 downscaling to about 0.35 megapixels with ImageScaleToTotalPixels before upscaling gives better results (its claim); video options named include SeedVR2, FlashVSR, HitPaw, Topaz Astra and Wan 2.2 upscale, with workflow downloads provided. Failure modes. Hallucinated detail from creative models; generation time varies strongly by model and hardware (the post lists per-model times without hardware or n for most items). Limitations. No objective metrics (PSNR/LPIPS) are reported in the text read; comparisons are visual and the vendor has partner-node interests. Treat as creator-grade claims. Version and date. Post dated Feb 06, 2026; fetched 2026-10-23.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Qualitative claims by the platform vendor; no replication.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://blog.comfy.org/p/upscaling-in-comfyui","note":"Image Upscale TL;DR; Image Upscale TL;DR"}]},"categories":["T08","T10","T12"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://blog.comfy.org/p/upscaling-in-comfyui","claim":"Problem. Choosing between conservative and creative upscalers and avoiding wasted passes. Conditions. Comfy blog post dated 2026-02-06; vendor-authored, qualitative side-by-side comparisons, includes partner-node (paid API) and local open models. Method. The post's takeaways: choose by use case (portrait skin, product photography needing faithful labels and edges, landscapes, illustration, archival video, CGI); conservative models for faithful materials and text; do not rely on upscaling to fix common AI artifacts; for SeedVR2 downscaling to about 0.35 megapixels with ImageScaleToTotalPixels before upscaling gives better results (its claim); video options named include SeedVR2, FlashVSR, HitPaw, Topaz Astra and Wan 2.2 upscale, with workflow downloads provided. Failure modes. Hallucinated detail from creative models; generation time varies strongly by model and hardware (the post lists per-model times without hardware or n for most items). Limitations. No objective metrics (PSNR/LPIPS) are reported in the text read; comparisons are visual and the vendor has partner-node interests. Treat as creator-grade claims. Version and date. Post dated Feb 06, 2026; fetched 2026-10-23.","locator":"Image Upscale TL;DR; Image Upscale TL;DR","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-6a41f503d7dcf9287b397fba0f2b25f7c961302f/record.json#p-6a41f503d7dcf9287b397fba0f2b25f7c961302f/record","import_batch_id":"pipe-f28f5021dcf68d3ede524cb376db1b643606cfd7","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-f28f5021dcf68d3ede524cb376db1b643606cfd7","original":{"body":{"text":"Problem. Choosing between conservative and creative upscalers and avoiding wasted passes. Conditions. Comfy blog post dated 2026-02-06; vendor-authored, qualitative side-by-side comparisons, includes partner-node (paid API) and local open models. Method. The post's takeaways: choose by use case (portrait skin, product photography needing faithful labels and edges, landscapes, illustration, archival video, CGI); conservative models for faithful materials and text; do not rely on upscaling to fix common AI artifacts; for SeedVR2 downscaling to about 0.35 megapixels with ImageScaleToTotalPixels before upscaling gives better results (its claim); video options named include SeedVR2, FlashVSR, HitPaw, Topaz Astra and Wan 2.2 upscale, with workflow downloads provided. Failure modes. Hallucinated detail from creative models; generation time varies strongly by model and hardware (the post lists per-model times without hardware or n for most items). Limitations. No objective metrics (PSNR/LPIPS) are reported in the text read; comparisons are visual and the vendor has partner-node interests. Treat as creator-grade claims. Version and date. Post dated Feb 06, 2026; fetched 2026-10-23.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Qualitative claims by the platform vendor; no replication.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://blog.comfy.org/p/upscaling-in-comfyui","note":"Image Upscale TL;DR; Image Upscale TL;DR"}]},"tags":[],"type":"article","links":[],"title":"What does Comfy's own upscaling handbook say about choosing and preparing upscalers for image and video, and how strong is that evidence?","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":"Problem. Choosing between conservative and creative upscalers and avoiding wasted passes. Conditions. Comfy blog post dated 2026-02-06; vendor-authored, qualitative side-by-side comparisons, includes partner-node (paid API) and local open models. Method. The post's takeaways: choose by use case (portrait skin, product photography needing faithful labels and edges, landscapes, illustration, archival video, CGI); conservative models for faithful materials and text; do not rely on upscaling to fix common AI artifacts; for SeedVR2 downscaling to about 0.35 megapixels with ImageScaleToTotalPixels before upscaling gives better results (its claim); video options named include SeedVR2, FlashVSR, HitPaw, Topaz Astra and Wan 2.2 upscale, with workflow downloads provided. Failure modes. Hallucinated detail from creative models; generation time varies strongly by model and hardware (the post lists per-model times without hardware or n for most items). Limitations. No objective metrics (PSNR/LPI...","evidence":{"claims":[{"url":"https://blog.comfy.org/p/upscaling-in-comfyui","claim":"Problem. Choosing between conservative and creative upscalers and avoiding wasted passes. Conditions. Comfy blog post dated 2026-02-06; vendor-authored, qualitative side-by-side comparisons, includes partner-node (paid API) and local open models. Method. The post's takeaways: choose by use case (portrait skin, product photography needing faithful labels and edges, landscapes, illustration, archival video, CGI); conservative models for faithful materials and text; do not rely on upscaling to fix common AI artifacts; for SeedVR2 downscaling to about 0.35 megapixels with ImageScaleToTotalPixels before upscaling gives better results (its claim); video options named include SeedVR2, FlashVSR, HitPaw, Topaz Astra and Wan 2.2 upscale, with workflow downloads provided. Failure modes. Hallucinated detail from creative models; generation time varies strongly by model and hardware (the post lists per-model times without hardware or n for most items). Limitations. No objective metrics (PSNR/LPIPS) are reported in the text read; comparisons are visual and the vendor has partner-node interests. Treat as creator-grade claims. Version and date. Post dated Feb 06, 2026; fetched 2026-10-23.","locator":"Image Upscale TL;DR; Image Upscale TL;DR","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T08","T10","T12"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":["CAT:T06.AIC.12"],"confidence":"Qualitative claims by the platform vendor; no replication.","limitations":["Qualitative claims by the platform vendor; no replication.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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