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Automated Prompt ✍ī¸", "type": "MarkdownNote", "widgets_values": [ "## Florence2Run\n\nUsing Florence-2 multimodal model to analyze an input image through tasks like **more detailed caption**:\n- Generates a prompt from an image input, incorporating finer details such as object attributes, spatial relationships, actions, scene context, and subtle visual elements" ] }, { "flags": {}, "id": 149, "inputs": [ { "link": 180, "name": "image", "type": "IMAGE" }, { "link": 179, "name": "florence2_model", "type": "FL2MODEL" } ], "mode": 0, "order": 9, "outputs": [ { "links": [], "name": "image", "type": "IMAGE" }, { "links": [], "name": "mask", "type": "MASK" }, { "links": [ 189 ], "name": "caption", "type": "STRING" }, { "links": [], "name": "data", "type": "JSON" } ], "pos": [ 12337.999537889884, 1274.0000110333403 ], "properties": { "Node name for S&R": "Florence2Run" }, "size": [ 336, 462.65625 ], "type": "Florence2Run", "widgets_values": [ "", "more_detailed_caption", true, false, 1024, 3, true, "", 1093475924089169, "randomize" ] }, { "flags": { "collapsed": false }, "id": 150, "inputs": [ { "link": null, "name": "lora", "shape": 7, "type": "PEFTLORA" } ], "mode": 0, "order": 2, "outputs": [ { "links": [ 179 ], "name": "florence2_model", "type": "FL2MODEL" } ], "pos": [ 11965.999923641199, 1274.0000110333403 ], "properties": { "Node name for S&R": "DownloadAndLoadFlorence2Model" }, "size": [ 327.59375, 203.984375 ], "type": "DownloadAndLoadFlorence2Model", "widgets_values": [ "MiaoshouAI/Florence-2-large-PromptGen-v2.0", "fp16", "sdpa", false ] }, { "flags": {}, "id": 157, "inputs": [ { "link": 189, "name": "source", "type": "*" } ], "mode": 0, "order": 12, "outputs": [], "pos": [ 12722.000137531963, 1274.0000110333403 ], "properties": { "Node name for S&R": "PreviewAny" }, "size": [ 360.734375, 572.625 ], "type": "PreviewAny", "widgets_values": [ null, null, null ] }, { "bgcolor": "#000", "color": "#222", "flags": {}, "id": 160, "inputs": [], "mode": 0, "order": 3, "outputs": [], "pos": [ 13740, 1280 ], "properties": {}, "size": [ 252, 119.171875 ], "title": "Note", "type": "MarkdownNote", "widgets_values": [ "👈 Enter the [subgraph](https://docs.comfy.org/interface/features/subgraph) \nto understand the upscale" ] }, { "flags": { "collapsed": false }, "id": 143, "inputs": [ { "link": 207, "name": "images", "type": "IMAGE" } ], "mode": 0, "order": 10, "outputs": [], "pos": [ 14077.999729243187, 1202.000085694885 ], "properties": {}, "size": [ 720, 1111.046875 ], "type": "SaveImage", "widgets_values": [ "ComfyUI" ] }, { "flags": { "collapsed": false }, "id": 158, "inputs": [ { "link": 208, "name": "image_a", "shape": 7, "type": "IMAGE" }, { "link": 214, "name": "image_b", "shape": 7, "type": "IMAGE" } ], "mode": 0, "order": 11, "outputs": [], "pos": [ 14849.999911384391, 1210.0000388946573 ], "properties": { "Node name for S&R": "ImageCompare" }, "size": [ 720, 1100 ], "type": "ImageCompare", "widgets_values": [] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": true }, "id": 138, "inputs": [], "mode": 0, "order": 4, "outputs": [], "pos": [ 15386.000368565758, 1118.0000480703977 ], "properties": {}, "size": [ 225, 8 ], "title": "Hit run 👆", "type": "MarkdownNote", "widgets_values": [ "" ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 165, "inputs": [], "mode": 0, "order": 5, "outputs": [], "pos": [ 13220, 2010 ], "properties": {}, "size": [ 468, 278.1875 ], "title": "Step 2 - Upscale", "type": "MarkdownNote", "widgets_values": [ "## Upscale\n\nUsing Image Z Turbo on a low denoise value, we can increase detail in an image.\n\nCompared to a basic diffusion process a upscale uses lower denoising values.\n| Parameters | Basic Diffusion | Upscaling |\n|--------|---------|------------\n| Ksampler: denoise | 1.0 | 0.2 - 0.35 " ] }, { "flags": {}, "id": 162, "inputs": [ { "link": 213, "name": "image", "type": "IMAGE" } ], "mode": 0, "order": 8, "outputs": [ { "label": "IMAGE", "links": [ 207, 208 ], "name": "IMAGE_1", "type": "IMAGE" } ], "pos": [ 13213.99973111337, 1273.9999318610107 ], "properties": { "cnr_id": "comfy-core", "proxyWidgets": [ [ "66", "unet_name" ], [ "62", "clip_name" ], [ "63", "vae_name" ], [ "76", "model_name" ], [ "69", "denoise" ], [ "69", "seed" ], [ "69", "control_after_generate" ], [ "164", "largest_size" ], [ "67", "text" ] ], "ver": "0.14.1" }, "size": [ 480, 628 ], "type": "3b4342ec-d8c2-43e3-83da-3b0fd25f4c0c", "widgets_values": [] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 134, "inputs": [], "mode": 0, "order": 6, "outputs": [], "pos": [ 10922.000008396613, 1202.000085694885 ], "properties": {}, "size": [ 336, 163.984375 ], "title": "ℹī¸ Info", "type": "MarkdownNote", "widgets_values": [ "This is an **Upscaling** workflow for advanced image enhancement in diffusion models using Z Image Turbo, featuring **Automatic Image Analysis** with Florence2Run to generate refined prompts and optimize output quality." ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 133, "inputs": [], "mode": 0, "order": 7, "outputs": [], "pos": [ 10922.000008396613, 1454.0000738387243 ], "properties": {}, "size": [ 336, 442.375 ], "title": "🔍 Core Concept", "type": "MarkdownNote", "widgets_values": [ "## Upscaling\n\nUpscaling increases image resolution and detail via diffusion, creating a higher-quality version that preserves original content and structure.\nIt adds denoised pixels throughout to enlarge the image, blending with the upscaled base for better clarity.\n\n## Automatic Image Analysis\n\nAutomatic image analysis with Florence-2 via Florence2Run to inspect the input image and create refined prompts for upscaling guidance.\nIt enhances the diffusion model with detailed descriptions of objects, textures, and contexts to improve results." ] } ], "revision": 0, "version": 0.4 }