taeold/djev-run
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README & documentation
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Serve DiffusionGemma-Jev (djev) on a TypeSafe AI compatible API on Cloud Run with an NVIDIA RTX PRO 6000 Blackwell GPU, built on mmastrac/djev. Built-in demo apps, inspired by: Follows Cloud Run GPU best practices. All three demos are standalone HTML files with zero external dependencies that call POST /v1/systemone directly from the browser via fetch(): Because djev-run implements the /v1/systemone endpoint contract, you can also point @ai-sdk/typesafe-ai at your Cloud Run URL from Node.js or TypeScript (index.ts): JevBench v1.3.0 (N = 231 public suite): To reach a 47.5-second cold start on Cloud Run, the container streams the 17.5 GB safetensors weights from GCS into /dev/shm RAM in the background…
Read the full README ↗ · Preview checked 2026-09-23T13:29:25.641Z
Inside the original README — Document outline
- djev-run
- Deploy on Google Cloud Run
- Step 1: Upload Model to GCS
- Step 2: Deploy to Cloud Run
- Step 3: Open the Built-in Demos
- Use with Vercel AI SDK (Optional)
- Performance
- Pricing
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Repository facts
- Owner
- taeold
- Primary language
- HTML
- Stars
- 289
- Forks
- 14
- Open issues + pull requests
- 0
- License
- Not reported — inspect the license file
- Archived
- No
- Default branch
- main
- Created
- 2026-09-20T03:59:03.000Z
- Last push
- 2026-09-23T04:00:53.000Z
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