| # AMD Credit Runbook |
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| Use this checklist as soon as AMD Developer Cloud credits are approved. |
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| ## 1. Create Instance |
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| Target: |
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| - AMD Developer Cloud |
| - AMD Instinct MI300X |
| - ROCm 6.x image if available |
| - Enough disk for videos, model cache, and rendered clips |
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| ## 2. Clone Repository |
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| ```bash |
| git clone https://github.com/JakgritB/ElevenClip.AI.git |
| cd ElevenClip.AI |
| ``` |
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| ## 3. Configure Environment |
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| ```bash |
| cp .env.example .env |
| ``` |
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| Edit `.env`: |
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| ```bash |
| DEMO_MODE=false |
| HF_TOKEN=<your-hugging-face-token> |
| WHISPER_MODEL_ID=openai/whisper-large-v3 |
| QWEN_TEXT_MODEL_ID=Qwen/Qwen2.5-7B-Instruct |
| QWEN_VL_MODEL_ID=Qwen/Qwen2-VL-7B-Instruct |
| FFMPEG_VIDEO_CODEC=h264_amf |
| ``` |
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| ## 4. Verify ROCm |
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| ```bash |
| rocminfo | head |
| rocm-smi |
| ``` |
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| Verify PyTorch: |
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| ```bash |
| python - <<'PY' |
| import torch |
| print("cuda available:", torch.cuda.is_available()) |
| print("device:", torch.cuda.get_device_name(0) if torch.cuda.is_available() else "none") |
| print("hip:", torch.version.hip) |
| PY |
| ``` |
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| On ROCm, PyTorch still exposes AMD GPUs through the `torch.cuda` API. |
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| ## 5. Start Backend And Frontend |
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| Docker path: |
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| ```bash |
| docker compose build --build-arg INSTALL_EXTRAS=.[ai,rocm-inference] backend |
| docker compose up |
| ``` |
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| Manual backend path: |
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| ```bash |
| cd backend |
| python -m venv .venv |
| source .venv/bin/activate |
| pip install -e ".[ai,rocm-inference]" |
| uvicorn app.main:app --host 0.0.0.0 --port 8000 |
| ``` |
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| Manual frontend path: |
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| ```bash |
| cd frontend |
| npm install |
| npm run dev -- --host 0.0.0.0 |
| ``` |
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| ## 6. Run Benchmark |
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| CPU baseline: |
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| ```bash |
| DEMO_MODE=false HIP_VISIBLE_DEVICES= python scripts/benchmark.py --youtube-url "<demo-video-url>" --language Thai --style informative --niche education --clip-length 60 |
| ``` |
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| AMD GPU: |
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| ```bash |
| DEMO_MODE=false python scripts/benchmark.py --youtube-url "<demo-video-url>" --language Thai --style informative --niche education --clip-length 60 |
| ``` |
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| Save the JSON outputs into: |
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| ```text |
| data/benchmarks/cpu.json |
| data/benchmarks/mi300x.json |
| ``` |
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| ## 7. Update Submission Materials |
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| After the benchmark: |
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| - Update `README.md`. |
| - Update `docs/SUBMISSION.md`. |
| - Update `docs/PITCH_DECK.md`. |
| - Update Hugging Face Space. |
| - Record the final demo video. |
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