{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "comfy-org-comfyui--run-large-models-on-modest-hardware",
 "repo": "Comfy-Org/ComfyUI",
 "repo_url": "https://github.com/Comfy-Org/ComfyUI",
 "repo_slug": "comfy-org-comfyui",
 "title": "Run large open-source models on a modest GPU",
 "page_title": "How to run large open-source models on a modest GPU with Comfy UI",
 "summary": "Use Comfy UI's memory management and quantized model support to run bigger models on a small GPU.",
 "who": "An independent creator with a consumer GPU who wants to try large video or image models without buying new hardware.",
 "problem": "Large diffusion models usually need more VRAM than a consumer card provides, so they fail to load or run very slowly.",
 "outcome": "A large model running locally through Comfy UI with weight streaming and offloading, generating output on a small GPU.",
 "steps": [
  "Install Comfy UI using the Manual Install section or the desktop app, depending on your system.",
  "Download a quantized version of the model you want, since the README lists support for quantized models.",
  "Load the model with a workflow template from comfy.org/workflows that matches your model family.",
  "Queue the workflow with Ctrl + Enter and watch the GPU usage while it runs.",
  "If the run fails, lower the resolution or frame count and queue it again."
 ],
 "agent_prompt": "Using the ComfyUI repo at https://github.com/Comfy-Org/ComfyUI, load a quantized version of <model name> on a machine with <GPU VRAM> VRAM and generate <output description>. Expected output: one generated file and a log showing the peak VRAM used. Verify the run finishes without an out-of-memory error.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "120 minutes",
 "basis": "readme",
 "caveat": "The README's claim of running the biggest models on 4GB VRAM plus 8GB RAM is the project's own statement, and actual speed and fit depend on the model and settings.",
 "category": "Content",
 "tags": [
  "Content"
 ],
 "lang": "python",
 "requirements": [
  "A Windows or macOS computer for the desktop app, or a Windows, Linux, or macOS machine with a supported GPU for the manual install",
  "A GPU with enough VRAM for the model you pick (the README says large models can run on as little as 4GB VRAM with 8GB RAM)",
  "Disk space for the model files you choose to download",
  "Optional: a Comfy Cloud account or partner node access for paid hosted models"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/comfy-org-comfyui/run-large-models-on-modest-hardware/",
 "md": "https://dedupedai.com/use-cases/comfy-org-comfyui/run-large-models-on-modest-hardware/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/comfy-org-comfyui--run-large-models-on-modest-hardware.json",
 "api_version": "v1"
}