{"_note":"Mock response for model 'realesrgan_x2plus'. Real upscaling runs on NVIDIA L4 GPU with Real-ESRGAN.","_sandbox":true,"available_models":{"realesr_animevideov3":{"best_for":"Anime video frames, fastest 4x option","scale":4},"realesr_general_x4v3":{"best_for":"Fast general 4x, good speed/quality balance","scale":4},"realesrgan_x2plus":{"best_for":"General 2x upscale, web images, fast processing","scale":2},"realesrgan_x4plus":{"best_for":"Photography, print quality, high detail","scale":4},"realesrgan_x4plus_anime":{"best_for":"Anime, illustrations, digital art, clean lines","scale":4}},"cost":{"gcx":2,"usd":0.2},"image_b64":"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","image_b64_note":"128x128 sample. Real output would be 128x128 (2x upscale).","model":"realesrgan_x2plus","next_steps":[{"action":"enrich","cost":"1-2 GCX","endpoint":"POST /api/tools/enrich_metadata","why":"Add AI metadata before or after upscaling"},{"action":"infuse","cost":"1 GCX ($0.10)","endpoint":"POST /api/tools/infuse_metadata","why":"Embed metadata into image file (XMP/IPTC/C2PA)"},{"action":"register_hash","cost":"1 GCX ($0.10)","endpoint":"POST /api/tools/register_hash","why":"Register perceptual hash for strip-proof provenance"},{"action":"save_asset","cost":"1 GCX ($0.10)","endpoint":"POST /api/tools/save_asset","why":"Save to your wallet storage (100MB free per wallet)"}],"original_size_bytes":12288,"scale":2,"upscaled_size_bytes":49152}