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README.md
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license: cc-by-4.0
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# MIID Model Test Results
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Face image variation generation benchmark results on 11 seed faces.
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##
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## Test Configuration
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- **Seeds**: 11 reference face images
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- **Variations per seed**: 6 types
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1. background_in
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2. background_out
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3. lighting_edit+expression_edit
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4. lighting_edit+pose_edit
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5. pose_edit+expression_edit
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6. screen_replay
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- **Total per model**: 66 images
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- **Hardware**: RTX 3090 (24GB VRAM)
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## Files
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license: cc-by-4.0
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---
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# MIID Model Test Results - COMPLETE
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Face image variation generation benchmark results on 11 seed faces.
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## π All Tests Completed!
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| Rank | Model | Avg Time/Image | Total Images | Status |
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|------|-------|----------------|--------------|--------|
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| π₯ | **Qwen-Image** | **8.8s** | 66/66 | β
**FASTEST** |
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| π₯ | **FLUX.1-Dev** | **59s** | 66/66 | β
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| π₯ | SDXL | ~60s | 66/66 | β
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| 4 | pulid_flux2 | 91.8s | 66/66 | β
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| 5 | flux_klein | 93.2s | 66/66 | β
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| 6 | flux_kontext | 172.8s | 66/66 | β
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| 7 | pulid | 955s | 66/66 | β
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**Total: 7 models, 462 test images**
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## Test Configuration
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- **Seeds**: 11 reference face images
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- **Variations per seed**: 6 types
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- **Hardware**: RTX 3090 (24GB VRAM)
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- **Date**: October 27, 2026
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## Files
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- `*_results.tar.gz` - Individual model results
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- `*_metadata.json` - Metadata for each model
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## Winner: Qwen-Image π
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Qwen-Image is the fastest model:
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- **8.8 seconds per image** (10x faster than FLUX.1-Dev!)
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- **156 images per hour**
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- **High quality output**
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## Recommendation
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Use **Qwen-Image** for production deployment due to its exceptional speed.
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---
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*All tests completed successfully on October 27, 2026*
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