- Add three upscaling node types: Smart, Dynamic, and Precise - Implement full Upsampler API integration with job polling - Add comprehensive documentation and example workflow - Include proper ComfyUI tensor handling and progress bars 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
45 lines
866 B
JSON
45 lines
866 B
JSON
{
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"1": {
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"inputs": {
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"image": "example.png",
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"upload": "image"
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},
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"class_type": "LoadImage",
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"_meta": {
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"title": "Load Image"
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}
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},
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"2": {
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"inputs": {
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"image": [
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"1",
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0
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],
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"api_key": "your_upsampler_api_key_here",
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"input_image_type": "universal",
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"upscale_factor": 2.0,
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"global_creativity": 5,
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"detail": 7,
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"description": "High quality, detailed enhancement",
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"should_enhance_faces": true,
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"should_preserve_blur": false
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},
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"class_type": "Upsampler Smart Upscale",
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"_meta": {
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"title": "Upsampler Smart Upscale"
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}
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},
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"3": {
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"inputs": {
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"filename_prefix": "upsampled",
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"images": [
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"2",
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0
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]
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},
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"class_type": "SaveImage",
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"_meta": {
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"title": "Save Image"
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}
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}
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} |