I want a video upscaler that sharpens details and does not create artifacts/hallucinations.

To avoid the "plastic" look or fake details while truly sharpening footage, you need an AI video upscaler that relies on faithful restoration models rather than aggressive generative hallucination . The gold standards that prioritize actual pixel/texture recovery over inventing fake features include:

• Topaz Video AI : The industry reference for desktop processing. Its Proteus model is specifically designed for manual, fine-grained control over recovery, sharpening, and noise reduction without rewriting faces or altering underlying scene geometry.
• Aiarty Video Enhancer : A robust desktop tool featuring a Smooth HQ model that de-blurs and cleans general video of people and textures naturally, avoiding over-smoothed or waxy skin artifacts.
• SeedVR2 : A powerful open-source (ByteDance) alternative. Unlike generative models that radically reinvent missing elements, it focuses on single-pass temporal resolution restoration while preventing the dreaded frame-flickering plague.
• Magnific Video Upscaler (Precision Mode): Available via cloud platforms like Scenario, its Precision variant is built strictly for faithful upscaling with minimal interpretation, keeping your original structural details intact.

Tips to Avoid Hallucinations and Artifacts

• Feed it the cleanest source possible: AI cannot reconstruct true data from heavily blocky, low-bitrate H.264 files—it will only upscale the compression artifacts into jagged edges.
• Keep enhancement sliders low: If using tools with a sharpness or creativity dial, keep sharpening under 25% and avoid "creative" or high-strength interpretation modes above 70%, which force the AI to guess and hallucinate features.
• Match model to content: Use general enhancement models (like Proteus/Smooth HQ) for real-life camera footage, and reserve face-specific or generative models strictly for heavily degraded or stylized sources.

To help narrow down the best choice, tell me:

• What is the resolution and format of your source video (e.g., 480p old archive, 720p H.264)?
• Do you prefer a local software running on your own GPU or a cloud-based service?

If your priority is recovering real detail while minimizing hallucinated textures and sharpening artifacts, the best choices are those that let you dial back the AI rather than forcing aggressive enhancement.

Here's how I'd rank them:

1. Topaz Video AI — Best overall.

   • Its Proteus Natural model is specifically designed to respect the original footage instead of inventing detail. It also reduces compression artifacts and halos while producing a cleaner upscale.
   • The key is using conservative settings:
     • Enhancement strength: low to moderate
     • Recover details: low
     • Avoid maximum sharpening
     • Preview small clips before rendering

2. DaVinci Resolve Studio (Super Scale + sharpening)

   • Doesn't attempt to fabricate textures as aggressively as many AI upscalers.
   • Excellent if your source is already reasonably clean.
   • More of an image-processing approach than a generative one.

3. • Open source.
   • Uses models like Real-ESRGAN, but because it performs frame-by-frame upscaling, temporal consistency isn't as strong as dedicated video models and flicker can occur.
   • Better for users who want full control and are comfortable tweaking settings.

What to avoid if you dislike hallucinations

Many AI upscalers advertise "recovering lost detail," but that often means guessing fine textures like skin pores, grass, bricks, or hair. Once the original information is gone, no model can truly reconstruct it. Even ESRGAN-based methods are known to create realistic-looking textures that are not present in the source.

Best strategy

If authenticity matters more than maximum sharpness:

• Upscale only 2× instead of 4× when possible.
• Use light denoising.
• Apply minimal sharpening.
• Preserve natural film grain if present—it often hides compression artifacts and prevents a "plastic" look.
• Compare against the original at 100% zoom rather than judging only the upscaled image.

If you tell me:

• the source resolution (480p, 720p, 1080p, etc.),
• whether it's live action or animation,
• and whether you're using an NVIDIA GPU, AMD GPU, Apple Silicon, or CPU,

I can recommend the specific model and settings that are least likely to introduce artificial detail.

To get an AI video upscaler that sharpens real textures and avoids the dreaded "waxy skin," plastic look, or invented details (hallucinations), you need to choose tools or models that lean toward conservative pixel reconstruction rather than aggressive generative painting.

The top options split into professional desktop applications and powerful open-source workflows.

1. The Commercial Standard with Fine Control: Topaz Video AI

• How it works: Uses specialized convolutional neural network (CNN) models (Proteus, Artemis, Gaia ) trained specifically on real-world optics, sensor noise, and compression degradation.
• Artifact/Hallucination prevention: Its Proteus model features manual recovery parameters. By turning down the enhancement/sharpening sliders and keeping denoising tight, you restrict the AI from inventing information. It treats the source pixels as truth and only interpolates physical edges and grain structure.
• Best for: Live-action, vintage film, or general footage where you need robust local rendering without a subscription lock-in if you use standalone versions.

2. The Balanced "Clean-then-Scale" Alternative: Aiarty Video Enhancer

• How it works: A dedicated offline desktop application that separates the cleaning phase from the scaling phase. It uses targeted models (moDetail-HQ for textures, Smooth-HQ for compression).
• Artifact/Hallucination prevention: Instead of letting a general AI guess what a blurry face or background looks like, it scrubs blocky compression artifacts and high-ISO mud before scaling. It includes a direct Strength Slider allowing you to dial back the neural processing so edges remain clean instead of turning into an oil painting.
• Best for: Web-compressed clips, action camera footage, or standard-definition phone videos.

3. The Open-Source Powerhouse (Zero Hallucination Focus): SeedVR2 (via ComfyUI)

• How it works: An open-source, one-step diffusion-transformer model (developed by ByteDance and integrated via ComfyUI-SeedVR2_VideoUpscaler).
• Artifact/Hallucination prevention: Unlike image-based generative upscalers that rewrite content using text prompts, SeedVR2 is a pure resolution restoration model built with native temporal consistency. It processes frame batches together, meaning it doesn't suffer from per-frame flickering or random object generation. It preserves your exact original pixel layout while filling in high-frequency optical clarity.
• Best for: Advanced users who want local, free (open-source), high-fidelity control over their rendering pipeline.

Quick Rules to Prevent Artifacts on Any Upscaler:

1. Never over-upscale in one pass: Go from 480p → 720p or 1080p → 4K max per pass. Forcing an 8x jump in a single step invites the AI to guess missing shapes.
2. Denoise before sharpening: If your source video has heavy digital noise or blocky macroblocks, the AI will lock onto those compression blocks and scale them into harsh structural artifacts. Always enable light noise suppression first.
3. Lower the strength/sharpness slider: If the preview looks "crunchy" or has white glowing halos around high-contrast edges, drop the AI processing strength until it looks organic.

If you tell me what resolution and format your source video is (e.g., 480p old family VHS, compressed 1080p MP4, or 720p action cam), I can recommend which specific model setting will give you the cleanest result.

If your priority is faithfully recovering detail rather than having AI invent new textures, these are the strongest options:

1. Topaz Video AI — Best overall

This is still the benchmark if you want maximum control over the tradeoff between sharpness and fidelity. It lets you independently adjust denoising, sharpening, and detail recovery, which helps avoid the "crispy AI" look. It's also one of the better tools for temporal consistency, so details are less likely to shimmer between frames.

Recommended settings to minimize hallucinations:

• Upscale only 2× at a time.
• Use low or moderate detail recovery.
• Apply light denoise only if the source is noisy.
• Keep sharpening conservative.
• Avoid face enhancement unless faces are severely degraded.

2. Aiarty Video Enhancer — More conservative

If Topaz sometimes looks too aggressive, Aiarty generally produces softer, more natural results. It tends to preserve existing textures instead of creating new ones, though it won't recover as much apparent detail.

3. Real-ESRGAN / Video2X — Best free

For a free local workflow, Video2X with Real-ESRGAN remains a solid choice. It doesn't push as much synthetic detail as many newer generative models, but setup is more involved and results depend on the chosen model.

Avoid if you dislike hallucinations

Many diffusion-based video upscalers prioritize "looking detailed" over preserving the original image. On low-resolution footage they can create:

• Fake hair strands
• Fabric textures that never existed
• Haloing around edges
• Flickering textures between frames

These artifacts become much more likely when jumping from something like 480p directly to 4K.

A workflow that usually gives the cleanest results

1. Light denoise (if needed).
2. Remove compression artifacts.
3. Upscale 2×.
4. Apply only mild sharpening.
5. If you need a larger increase, repeat with another conservative pass rather than a single aggressive one.

My recommendation by source material

If your goal is the least hallucination possible, I'd recommend Topaz Video AI configured conservatively. It offers the most control over enhancement strength, allowing you to prioritize fidelity over aggressive reconstruction.

If your priority is preserving real detail rather than having the AI invent textures, you want a model that is conservative and lets you control sharpening.

Here are the best options, ranked for lowest hallucination risk:

1. Topaz Video AI (best overall)

   • Best models:
     • Proteus Natural – my first recommendation. It's specifically designed to respect the original source instead of aggressively inventing detail.
     • Proteus (manual mode) – lets you dial sharpening and detail recovery yourself.
     • Theia (Fidelity mode) – emphasizes faithful restoration over maximum sharpness.
   • Avoid:
     • Very high "Recover Detail"
     • Strong Focus Fix
     • Aggressive sharpening
   • A good starting point is:
     • Recover Detail: 10–20
     • Sharpen: low
     • Denoise: only as much as needed Those settings reduce the chance of compression noise being mistaken for real texture.

2. DaVinci Resolve Studio – SuperScale

   • More conservative than many AI upscalers.
   • Doesn't create dramatic new textures.
   • Excellent if your source is already reasonably clean.

3. Video2X + Real-ESRGAN

   • Free and open source.
   • Produces sharp results, but can oversharpen or create artificial-looking textures if the source is heavily compressed. Community testing generally finds it less natural than Topaz on faces.

4. FFmpeg + Lanczos

   • Not AI.
   • Creates essentially zero hallucinations because it performs mathematical interpolation.
   • Won't recover lost detail, but it's ideal if you simply want a clean resize with mild sharpening afterward.

If you want the absolute least hallucination

I'd rank them like this:

My recommendation

• For professional footage: Topaz Video AI with Proteus Natural.
• For archival footage: Topaz Proteus in manual mode with conservative settings.
• If you absolutely don't want invented detail: FFmpeg Lanczos or DaVinci SuperScale.
• If you want free software: Video2X with a conservative Real-ESRGAN model, testing short clips before processing an entire video.

If your footage is live-action (camera footage) rather than anime or CGI, I can also recommend the specific Topaz model and settings based on whether it's 480p, 720p, DVD, VHS, or compressed web video.

For a video upscaler that focuses on sharpening details while minimizing artifacts and hallucinations, Topaz Video AI is widely considered the industry standard, offering specialized models for,,progressive, and interlaced footage.

Here are the best options for balancing sharp details with low artifacts:

1. Topaz Video AI (Best Overall & Professional Choice)

Topaz provides the best balance of sharpening without excessive "plastic" or "dream-like" hallucinations, particularly when tuned properly.

• Key Models:
  • Proteus: Best for fine-tuning. It allows you to manually adjust noise reduction, sharpen, and anti-alias settings to find the perfect balance.
  • Gaia /Artemis: Good for high-quality, low-noise sources where you want natural sharpening rather than AI reconstruction.
• Artifact Reduction: It excels at removing compression artifacts, motion artifacts, and noise while restoring detail.
• Best For: Users seeking professional, customized, and high-quality upscaling up to 4K/8K.

2. A.I.R.T. Video Enhancer (Alternative for Detail)

A.I.R.T is a strong alternative that focuses on fine detail retention.

• Key Models: Similar to Topaz , it offers specialized models like "Smooth HQV2" for balancing detail and minimizing waxy textures.
• Performance: It is highly regarded for its ability to maintain realism in textures.

3. Aiarty Image Enhancer (Good for Noisy/Low-Res)

• Performance: Strong for handling low-resolution, noisy, or blurry footage, often used for restoring older videos.
• Best For: Heavy restoration where you need to remove significant artifacts from the source footage first.

Tips to Avoid Hallucinations and Artifacts

To get the best results without artificial-looking, "hallucinated" details, follow these best practices:

• Use "Conservative" Settings: Avoid over-processing. Set sharpening levels below 70-80, as high values introduce "halos" or weird, plasticky textures.
• Choose the Right Model: Do not use a generative/creative model for standard footage. Use Proteus to manually control how much detail is added.
• Preserve Grain: Sometimes, a small amount of original noise is better than a smoothed-out "hallucination," especially on vintage footage.

To recommend the perfect tool for your needs, could you tell me:

• What type of footage are you upscaling (e.g., old family videos, anime, 1080p to 4K)?
• What is your computer's GPU (e.g., NVIDIA RTX 3060, Apple M1/M2/M3)?
• Is this for a one-time project or ongoing work?

For upscaling video while prioritizing sharp details and avoiding AI "hallucinations" or visual artifacts, the industry-standard software is Topaz Video AI . It allows you to run processing locally on your GPU, giving you fine-grained control over the strength of the enhancement and preventing the software from creating weird textures or unrecognizable faces.

Choosing the right tool depends heavily on whether you want a local, GPU-accelerated application or a cloud-based solution. The most capable upscalers for this specific need are highlighted below.

Top Video Upscaling Software

How to Avoid Hallucinations and Artifacts

When using AI upscalers, artifacts and hallucinations usually happen when the AI is "creatively guessing" what the upscaled pixels should look like rather than relying on the data present in the source footage. To avoid this, follow these best practices:

• Use the Right Model: Do not use purely "generative" or creative AI models (which are better suited for text-to-video or pure AI art) for standard footage. Select recovery or sharpening models (like Artemis in Topaz) that focus purely on de-haloing and de-noising.
• Dial Back the Creativity: If your software has a "Strength", "Detail", or "Creativity" slider, keep it below 50% to 70%. Aggressive settings force the AI to hallucinate details (like adding distorted facial features to people).
• Avoid Double Up-scaling: Do not take an already-compressed or low-resolution video and try to jump from 480p straight to 4K in one pass. Upscaling in smaller increments (e.g., from 480p to 720p, then to 1080p) creates a much more natural, artifact-free result.

If you can tell me:

• What type of video you are upscaling (e.g., old family VHS, modern compressed 1080p, or 3D animation)
• The resolution of your original footage
• Whether you have a dedicated graphics card (NVIDIA/AMD) on your computer

I can recommend the exact settings and software model you need to get the sharpest result.

If your priority is preserving real detail rather than making the video look artificially "AI-enhanced," then you generally want models that are conservative and let you dial back sharpening. Every AI upscaler has to infer missing information, so some degree of hallucination is unavoidable when the source lacks detail—but some tools are much better at minimizing it.

Here's how I'd rank the major options for that goal:

Best overall: Topaz Video AI

For real footage, Proteus Natural is currently one of the best choices if your goal is:

• preserve texture
• avoid oversharpening
• reduce compression artifacts
• avoid inventing fake detail

The newer Proteus Natural model is specifically intended to respect the original source instead of aggressively reconstructing textures.

Recommended settings:

• Sharpening: low
• Recover Details: low to medium
• Anti-alias: mild
• Grain: preserve (don't remove all grain)
• Avoid 4× upscales when 2× is enough.

---

If you want the least hallucination possible

Consider DaVinci Resolve Studio's Super Scale.

It is less "magical" than AI upscalers, but that is actually an advantage if you dislike invented textures. It tends to enlarge existing information rather than fabricate eyelashes, pores, brick textures, etc. Community comparisons often recommend it for natural-looking results.

---

Open-source option

If you want something free:

• Real-ESRGAN
• Video2X (wrapper around Real-ESRGAN)

Use conservative models and avoid maximum sharpening.

Real-ESRGAN is excellent at increasing apparent sharpness, but can smooth skin, sharpen naturally blurred backgrounds, and introduce synthetic textures if pushed too hard.

---

What actually reduces hallucinations

The software matters, but settings matter even more.

Good practices:

• Upscale 2× instead of 4× when possible.
• Add little or no sharpening.
• Preserve film grain rather than denoising everything.
• Use mild compression removal.
• Preview short clips before rendering the entire video.

The biggest source of fake detail is usually over-aggressive denoising followed by heavy sharpening.

---

If you're restoring different kinds of footage

• Old VHS/DVD: Topaz Proteus Natural or Artemis.
• Modern compressed YouTube footage: Proteus Natural.
• Anime: Real-ESRGAN-based models often work very well.
• Camera footage with people: DaVinci Super Scale or Topaz Proteus Natural.

If you tell me:

• the source resolution (480p, 720p, 1080p, etc.),
• whether it's live-action, anime, or CGI, and
• your GPU (NVIDIA/AMD/Apple CPU-only),

I can recommend the specific model and settings that prioritize fidelity over AI-generated detail.

If your priority is faithful restoration rather than "AI-enhanced" imagery, you generally want a video super-resolution model—not a diffusion or generative enhancement model. Diffusion models are much more likely to invent textures, facial details, or other hallucinations.

Here are the best options, ranked for fidelity:

1. Topaz Video AI (best overall)

   • Excellent temporal consistency (less flicker).
   • Multiple restoration models let you choose conservative processing.
   • Can be configured to sharpen gently instead of inventing details.
   • Works especially well when using 2× upscaling, low sharpening, and avoiding creative restoration modes.

2. DaVinci Resolve Studio – SuperScale

   • Very conservative.
   • Produces few artifacts or hallucinations.
   • Doesn't recover as much apparent detail as Topaz, but it is often more faithful to the source.

3. BasicVSR++ / BasicVSR-based implementations (open source)

   • Research-backed video super-resolution.
   • Uses neighboring frames to reconstruct detail instead of processing each frame independently.
   • Typically exhibits less shimmering and fewer invented textures than image-upscaling approaches.

4. Real-ESRGAN

   • Free and widely available.
   • Can oversharpen, create halos, and exaggerate compression artifacts, especially on live-action footage.
   • Better for animation than for natural video if maximum fidelity is the goal.

To minimize artifacts regardless of software

• Upscale 2× instead of 4× whenever possible.
• Apply light sharpening rather than aggressive enhancement.
• Denoise or remove compression artifacts before upscaling if the source is heavily compressed.
• Prefer models that explicitly use temporal information across frames rather than treating each frame as an independent image. Research consistently shows temporal models reduce flicker and artifact propagation.

If I had to recommend just one

• Highest quality (paid): Topaz Video AI, configured conservatively.
• Best free/open source: BasicVSR++ (or another BasicVSR-based implementation).
• Most conservative with minimal hallucination: DaVinci Resolve Studio SuperScale.

Could you tell me:

• Is your footage live-action, anime/cartoons, or old VHS/DVD?
• Are you looking for Windows, macOS, or Linux?
• Do you have an NVIDIA GPU, or are you limited to CPU/Apple Silicon?

To sharpen video details while actively avoiding AI-generated hallucinations and plastic-looking artifacts, your best option is to use dedicated AI restoration and upscaling software. The key to avoiding a "fake" or over-processed look is having manual control over AI deblurring, denoising, and sharpening sliders.

The top tools for this use case are broken down below by category to help you choose the right fit for your hardware and budget.

1. Standalone Desktop Software (Best Quality & Control)

These programs run locally on your GPU and offer the highest level of detail control. Because they run on your machine, you aren't subject to cloud file size limits or pay-per-minute subscriptions.

• Topaz Video AI: The industry standard for video upscaling. It includes dedicated models like Proteus and Thea that allow you to manually dial back "recovery detail" and "sharpening" settings so the footage doesn't look unnatural. It is a paid, one-time purchase software.
• Stable Diffusion with ComfyUI: For advanced users with a powerful graphics card, ComfyUI allows you to run diffusion-based models like SUPIR . It is completely free and yields hyper-realistic sharpening, though it requires a significant learning curve and highly capable PC hardware.

2. Cloud-Based & Browser Solutions (Best for Accessibility)

If you don't have a high-end graphics card or don't want to install software, browser-based upscalers will process your video in the cloud.

• Adobe Firefly Video Upscaler: A user-friendly tool built natively into the Adobe ecosystem. It uses machine learning to strengthen definition while restoring lost textures rather than just stretching pixels.
• Canva Video Enhancer: Great for quick enhancements and upscaling directly in your browser. You can easily adjust exposure and contrast alongside the AI upscaling feature.

Best Practices to Avoid Artifacts & Hallucinations

When upscaling video without creating "AI bloat" (where skin looks like plastic or edges get distorted halos), follow these expert tips:

1. Don't over-process: Lower your sharpness and detail recovery sliders. Allow the video to remain slightly soft rather than forcing the AI to draw details that weren't there.
2. Denoise first: If your original video is grainy, run a light denoising pass before upscaling to ensure the AI doesn't mistake noise for intricate details and amplify it.
3. Avoid extreme jumps: Rather than upscaling from 480p straight to 4K, scale incrementally (e.g., 480p to 720p, then 1080p to 4K) to give the algorithm easier mathematical steps to calculate.
4. Add grain: A very light post-upscale grain pass helps hide any residual digital-looking smoothing, giving your video a more organic, filmic texture.

Could you let me know:

• What is the source resolution of your video (e.g., 480p, 720p, 1080p)?
• What hardware (GPU and RAM) do you have available if you are looking to process locally?