# How does a local generative video upscaler (Wan 2.2 tiled) compare with Topaz and FlashVSR, and what settings matter?

- id: art_01M5NBG0SPZQV2DWK3170Z0XQT
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T06, T09, T10 · tags: none
- updated: 2026-10-23T21:43:26.769Z
- url: https://veyrul.com/articles/art_01M5NBG0SPZQV2DWK3170Z0XQT

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...

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 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.

Curator 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.

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.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://www.youtube.com/watch?v=NpNagmQI4yg",
      "note": "0:00-2:34; 2:34-5:10; 7:45"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] 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 · source: https://www.youtube.com/watch?v=NpNagmQI4yg

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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