33 lines
2.2 KiB
JSON
33 lines
2.2 KiB
JSON
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{
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"last_node_id": 12,
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"nodes": [
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{"id": 1, "type": "LoadImage", "pos": [50, 100], "widgets_values": ["input_image.png", "image"], "title": "API Input Image"},
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{"id": 2, "type": "CheckpointLoaderSimple", "pos": [50, 400], "widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"], "title": "SDXL Checkpoint Loader"},
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{"id": 3, "type": "UpscaleModelLoader", "pos": [50, 600], "widgets_values": ["RealESRGAN_x2.pth"], "title": "Upscale Model Loader"},
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{"id": 4, "type": "CLIPTextEncode", "pos": [450, 100], "widgets_values": ["high quality, detailed, sharp"], "title": "API Positive Prompt"},
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{"id": 5, "type": "CLIPTextEncode", "pos": [450, 300], "widgets_values": ["blurry, low quality"], "title": "API Negative Prompt"},
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{"id": 6, "type": "UltimateSDUpscale", "pos": [800, 100], "widgets_values": [2, 42, 20, 8.0, "dpmpp_2m", "karras", 0.3, "Linear", 512, 64], "title": "Ultimate SD Upscale (2x)"},
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{"id": 7, "type": "VAEDecode", "pos": [1150, 100], "title": "VAE Decode"},
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{"id": 8, "type": "PreviewImage", "pos": [1450, 100], "title": "Preview Output"},
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{"id": 9, "type": "SaveImage", "pos": [1450, 550], "widgets_values": ["ultimate_upscale_output"], "title": "API Image Output"}
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],
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"extra": {
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"workflow_info": {
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"name": "Ultimate SD Upscale Production",
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"version": "1.0.0",
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"description": "Professional upscaling with Ultimate SD Upscale. Combines AI upscaling with diffusion refinement for superior detail and quality.",
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"category": "upscaling",
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"tags": ["ultimate-sd-upscale", "upscaling", "enhancement", "production"],
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"requirements": {"models": ["stable-diffusion-xl-base-1.0", "RealESRGAN"], "custom_nodes": [], "vram_min": "18GB"},
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"parameters": {
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"input_image": {"node_id": 1, "type": "image", "required": true},
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"scale": {"node_id": 6, "type": "integer", "default": 2, "options": [2, 4]},
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"tile_size": {"node_id": 6, "type": "integer", "default": 512, "description": "Processing tile size"},
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"denoise": {"node_id": 6, "type": "float", "default": 0.3, "description": "Refinement strength"}
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},
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"performance": {"avg_generation_time": "60-120 seconds (depending on input size)", "vram_usage": "~16-20GB"}
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}
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},
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"version": 0.4
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}
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