virtual-try-on / workflow_api.json

Commit History

improve: richer garment description + stronger prompt + 16 steps + 2MP ref- describe_garment now detects sleeve type, neckline, and special features (tie/bow, buttons, ruffles, etc.) using CLIP zero-shot β€” gives the model a much more specific caption to work from- Prompts now explicitly instruct the model to preserve sleeve shape, neckline, silhouette, and decorative elements without simplifying- Steps: 12 β†’ 16 (better detail at ~25% more inference time)- Clothing reference: 1.5 β†’ 2.0 megapixels (more detail in the conditioning)
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feat: increase steps to 12 for better fabric texture
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feat: increase inference steps to 8
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feat: 150s GPU duration, increase inference steps 4β†’6
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fix: add libgles2 system dep + fix SAM3 text prompt for clothing detection
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initial
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