{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "ant-research-4danyone--quick-six-view-test-on-consumer-gpu",
 "repo": "ant-research/4DAnyone",
 "repo_url": "https://github.com/ant-research/4DAnyone",
 "repo_slug": "ant-research-4danyone",
 "title": "Run a quick 6-view test on a consumer GPU",
 "page_title": "How to run a quick 6-view test on a consumer GPU with 4DAnyone",
 "summary": "Produce a compact 360 degree six-view set with the Turbo default to check the pipeline works.",
 "who": "A developer with a consumer NVIDIA GPU who wants to confirm the install works before running heavier camera layouts.",
 "problem": "Full runs with many views take longer, so a first test needs a small, fast check.",
 "outcome": "Six target videos in a 360 degree orbit, produced with the default distilled Turbo model.",
 "steps": [
  "`git clone https://github.com/ant-research/4DAnyone.git`",
  "`cd 4DAnyone`",
  "`git submodule update --init third_party/GVHMR`",
  "`conda create -n 4danyone python=3.11 -y` then `conda activate 4danyone`",
  "`pip install -r requirements.txt`",
  "`python scripts/download_example.py`",
  "`python inference.py --video_path \"data/source/pexels/2785536-uhd_2160_3840_25fps.mp4\" --output_dir \"data/fdanyone/pexels/2785536-uhd_2160_3840_25fps\" --views_per_layer 6` (inferred, check the README)"
 ],
 "agent_prompt": "In the 4DAnyone repo, run scripts/download_example.py and then inference.py with --views_per_layer 6 on the example video, writing to <output_dir>. Expected output: six target videos and cameras.json. Verify that videos/ holds 6 .mp4 files and that metadata.json records the run settings.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The README says the example video path is the one used throughout, and the Turbo model is the default, so the Base model is not used unless you change the run settings.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "A CUDA-capable NVIDIA GPU (README cites peak use below 24 GB and an RTX 4090 benchmark)",
  "Git and conda installed",
  "A source video that is a single person, 1080p or higher, 9:16 portrait, at least 121 frames",
  "Permission to use the person shown in the source video"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/ant-research-4danyone/quick-six-view-test-on-consumer-gpu/",
 "md": "https://dedupedai.com/use-cases/ant-research-4danyone/quick-six-view-test-on-consumer-gpu/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/ant-research-4danyone--quick-six-view-test-on-consumer-gpu.json",
 "api_version": "v1"
}