{
 "schema_version": 1,
 "generated": "2026-10-31",
 "id": "zagitta-gpu-unlock--faster-sdxl-and-comfyui-image-generation",
 "repo": "Zagitta/gpu-unlock",
 "repo_url": "https://github.com/Zagitta/gpu-unlock",
 "repo_slug": "zagitta-gpu-unlock",
 "title": "Generate SDXL and ComfyUI images faster on RTX cards",
 "page_title": "How to generate SDXL and ComfyUI images faster on RTX cards with GPU Unlock",
 "summary": "Remove the FP16 tensor cap so diffusion models in ComfyUI render faster.",
 "who": "An artist or tinkerer running SDXL, SD 1.5 or DiT models in ComfyUI on a GeForce card.",
 "problem": "Each image takes longer than it should because FP16 tensor math is held at half rate.",
 "outcome": "The README reports 30 to 55 percent faster FP16 or BF16 image generation, with identical outputs.",
 "steps": [
  "Install GPU Unlock and set `gpu_unlock.targets=all` on the kernel command line",
  "Reboot and open ComfyUI as usual",
  "Render the same seed and workflow you used before and compare the time per image",
  "Note quantized INT8, FP8 and INT4 models and gaming see no change"
 ],
 "agent_prompt": "Help me install Zagitta/gpu-unlock and measure ComfyUI SDXL render time on my <card> before and after with the same seed and workflow.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "45 minutes",
 "basis": "readme",
 "caveat": "This card is written from the Zagitta/gpu-unlock README, not from a test run by Deduped. Before you start, make sure you have Linux. Check the repo for newer instructions before you rely on these steps.",
 "category": "Security and science",
 "tags": [
  "Security and science"
 ],
 "lang": "c",
 "requirements": [
  "Linux (Windows is not supported; the README points to a third party port)",
  "An Ampere RTX 30 card (stable) or an Ada RTX 40 or Turing RTX 20 card (experimental); RTX 50 is not supported",
  "Root access to install a kernel module and edit the kernel command line"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "system-change",
   "notice": "Kernel module installed at boot; not supported by NVIDIA."
  }
 ],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/zagitta-gpu-unlock/faster-sdxl-and-comfyui-image-generation/",
 "md": "https://dedupedai.com/use-cases/zagitta-gpu-unlock/faster-sdxl-and-comfyui-image-generation/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/zagitta-gpu-unlock--faster-sdxl-and-comfyui-image-generation.json",
 "api_version": "v1"
}