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Is Supir the ultimate upscaler for ComfyUI? In this video, we’ll install it, test it, and compare it side-by-side with other top upscalers. Don’t miss the results! Resources: Supir main page: https://github.com/Fanghua-Yu/SUPIR ComfyUI Supir: https://github.com/kijai/ComfyUI-SUPIR Models: https://huggingface.co/Kijai/SUPIR_pr... Demo workflow: https://github.com/kijai/ComfyUI-SUPI... Additional models: https://huggingface.co/openai/clip-vi... https://huggingface.co/laion/CLIP-ViT... https://huggingface.co/stabilityai/st... https://huggingface.co/RunDiffusion/J... https://huggingface.co/RunDiffusion/J... My recommendations: Best quality outfits: https://community.kuhl.com/s/vladimri.c Must have VPN: https://go.nordvpn.net/aff_c?offer_id... Topaz AI Video and Photo processing: https://topazlabs.com/ref/1514/ Stuff I am using: https://www.amazon.com/shop/vladimirc... My Vue book - https://amzn.to/2TGUkvQ 3D Art essentials - https://amzn.to/2RfqPjh My Patreon webpage - / geekatplay Tutorials and packs - https://gumroad.com/geekatplay Tutorials website - https://www.geekatplay.com Photography - https://www.chopinephotography.com Subscribe to my channel for fast notifications on new tutorials - / @geekatplay 0:00 — Intro: Why Super upscaler is worth exploring 0:15 — Official GitHub pages and model sources 0:45 — Installation tips for ComfyUI and Super wrapper 1:20 — Setting up external model paths via YAML 2:10 — SSD recommendation for faster model loading 2:45 — Where to place Super models (checkpoints folder) 3:20 — SafeTensor format vs CKT format 3:48 — Installing custom nodes (Git method) 4:38 — Easier method: Using ComfyUI Manager to install Super 5:30 — Handling node conflicts in ComfyUI 6:10 — Recommended clean install strategy 6:45 — Benefits of standalone installs for node separation 7:35 — Verifying installation with demo workflow (Super JSON) 8:15 — How the workflow looks and what each section does 8:54 — Loading Super model and checkpoint files 9:30 — Understanding tiles and resolution limits 10:12 — Upscaler type: interpolation vs AI detail enhancement 10:50 — Sampler settings and how Super handles detail control 11:40 — Tile overlap explained and why it matters 12:10 — Prompting best practices (match original generation prompts) 12:50 — Visual comparison begins: original vs upscaled 13:20 — Face detail preservation in Super vs Flux 14:00 — Super's strength: enhancing without distortion 14:40 — Weaknesses: hands and limbs may not be fixed 15:30 — When to use LORAs to enhance specific features 16:05 — Artistic differences: Flux adds creativity, Super keeps fidelity 17:00 — Upscaler recommendations based on use-case 17:40 — Side-by-side texture detail comparison 18:15 — Summary of Super’s capabilities and limitations 19:00 — Final recommendation: Use correct upscaler per goal 19:30 — Final thoughts: When to use Super vs Flux 20:00 — Tips for experimentation with LORAs and workflow tweaks 20:30 — Thank you and reminder to check links in the description