rubz
c6f6914488
- Reject use_original_name=False + use_counter=False (all files collapsed to one output name) - Add preview_limit to cap in-memory preview tensors (was holding entire batch as float32) - Recover from per-file failures instead of aborting the whole batch - Fix _calc_new_size overshoot past longest_side and off-by-one truncation - Add upscale_if_smaller to SmartBatchResize to match SmartResize - Clip pixel values before uint8 cast (was wrapping on overflow) - Support CUDA tensors and RGBA/grayscale images in SmartResize - Handle empty batches; derive width/height from the actual output tensor - Require POST + loopback/origin check on the browse_folder endpoint (CSRF) - Add subprocess timeout to the folder picker dialog - Isolate the browse_folder route registration so import failures don't take down all nodes - Validate folder_custom against path traversal and self-overwrite - Replace IS_CHANGED=NaN with a folder-listing hash so unrelated graph runs can still cache
103 lines
3.9 KiB
JSON
103 lines
3.9 KiB
JSON
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"text": "Smart Batch Resize — how it works\n\nThe node ALWAYS writes resized images to disk — connecting the outputs is optional.\n\nOutputs:\n📷 images → batch tensor, feed into PreviewImage or any IMAGE input\n🔢 count → number of images actually processed\n\nKey settings:\n📁 Input folder — pick with Browse folder, or paste a path\n📐 Longest side — target size, aspect ratio is always preserved\n🔢 Round to multiple of — snap dimensions (use 8 for SD/Flux)\n🏷️ Filename prefix / Keep original filename / Add counter — build the output filename\n📂 Create resolution subfolder / Custom output subfolder — where resized files land (default: input_folder/resized/)\n⏭️ Skip existing files — don't reprocess files already in the output folder\n\n▶️ Run Batch = same as the regular Run button — it just runs this node. No separate output folder needed: results are saved inside the input folder itself (in the resized/ subfolder).\n\nTip: leave the prefix empty and 'Keep original filename' on to preserve names, or turn it off and use a prefix + counter for a clean renumbered batch."
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"Smart Batch Resize — how it works\n\nThe node ALWAYS writes resized images to disk — connecting the outputs is optional.\n\nOutputs:\n📷 images → batch tensor, feed into PreviewImage or any IMAGE input\n🔢 count → number of images actually processed\n\nKey settings:\n📁 Input folder — pick with Browse folder, or paste a path\n📐 Longest side — target size, aspect ratio is always preserved\n🔢 Round to multiple of — snap dimensions (use 8 for SD/Flux)\n🏷️ Filename prefix / Keep original filename / Add counter — build the output filename\n📂 Create resolution subfolder / Custom output subfolder — where resized files land (default: input_folder/resized/)\n⏭️ Skip existing files — don't reprocess files already in the output folder\n\n▶️ Run Batch = same as the regular Run button — it just runs this node. No separate output folder needed: results are saved inside the input folder itself (in the resized/ subfolder).\n\nTip: leave the prefix empty and 'Keep original filename' on to preserve names, or turn it off and use a prefix + counter for a clean renumbered batch."
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