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Trained to predict and remove noise from data, they refine images step-by-step during inference: start with noise, iteratively denoise over multiple steps, and output the described image.\n\nZ-Image Turbo is a distilled 6B-parameter model that produces high-quality photorealistic images in just ~8 steps (sub-second on capable hardware), faster than traditional models requiring 20ā€“50+ steps." ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 104, "inputs": [], "mode": 0, "order": 5, "outputs": [], "pos": [ 10706.00021855484, 1501.9999927189965 ], "properties": {}, "size": [ 372, 415.171875 ], "title": "Step 1 - Load the Models ā¬‡ļø", "type": "MarkdownNote", "widgets_values": [ "Load these three essentials:\n\n## Diffusion Model\n\nDenoises noise into images. (z_image_turbo_bf16.safetensors)\n\n\n## Text Encoder\n\nTurns your prompt words into guidance vectors (like an advanced CLIP) (qwen_3_4b.safetensors)\n\n\n## VAE (ae.safetensors)\nCompresses images to latent space for faster diffusion, then decodes back to pixels." ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 111, "inputs": [], "mode": 0, "order": 6, "outputs": [], "pos": [ 11990.000469726227, 1501.9999927189965 ], "properties": {}, "size": [ 408, 519.171875 ], "title": "Step 4 - Sampling šŸ–¼ļø", "type": "MarkdownNote", "widgets_values": [ "## Model Sampling (e.g., AuraFlow)\n\nModelSamplingAuraFlow node: Optimizes timing/shift for Turbo (shift ~3.0 is common).\n\n## KSampler - The heart of inference\n\nKey settings:\n- **Seed** ensures reproducibility ( same seed yields same output)\n- **Steps** 3 ā€“ 12 (Turbo shines at low numbers, e.g. 8 ā€“ 9)\n- **CFG** ~1.0 ā€“ 3.0 (how strongly it follows prompt; 1.0 = balanced)\n- **Sampler** res_multistep or similar\n- **Scheduler** simple\n- **Denoise** 1.0 (full from-noise generation)\n\n\nIteratively: model predicts noise ā†’ subtracts it ā†’ image sharpens." ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 105, "inputs": [], "mode": 0, "order": 7, "outputs": [], "pos": [ 12434.001405431305, 1501.9999927189965 ], "properties": {}, "size": [ 372, 194.390625 ], "title": "Step 5 - Decode & Save Image", "type": "MarkdownNote", "widgets_values": [ "## VAE Decode\n\nTurns final latent back into viewable pixels.\n\n## Save Image\n\nOutputs the image to a file (e.g., with a prefix)." ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 109, "inputs": [], "mode": 0, "order": 8, "outputs": [], "pos": [ 11126.001173818024, 1501.9999927189965 ], "properties": {}, "size": [ 384, 163.984375 ], "title": "Step 2 - Set Image Size", "type": "MarkdownNote", "widgets_values": [ "## Empty Latent Image\n\nYour starting \"noisy canvas\":\n\n- Select resolution (e.g., 864Ɨ1536 or 512Ɨ512).\n- Generates pure random noise as the base" ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 110, "inputs": [], "mode": 0, "order": 9, "outputs": [], "pos": [ 11557.999091732087, 1501.9999927189965 ], "properties": {}, "size": [ 384, 349.171875 ], "title": "Step 3 - Write a prompt āœļø", "type": "MarkdownNote", "widgets_values": [ "## CLIP Text Encode (Positive Prompt)\n\nCLIP Text Encode (Positive Prompt)\nInput desired description (e.g., \"anime illustration, young person with short black bob haircut, ...\").\n\nā†’ Encoded via Qwen into a conditioning vector.\n\n## Conditioning Zero Out (Negative Prompt)\n\nWhat to avoid (e.g., \"blurry, ugly, deformed\").\n\nā†’ Often zeroed out in Turbo workflows (model relies mainly on positive guidance)." ] }, { "flags": {}, "id": 97, "inputs": [], "mode": 0, "order": 10, "outputs": [ { "links": [ 139 ], "name": "VAE", "type": "VAE" } ], "pos": [ 10729.881691254059, 964.9784263848593 ], "properties": { "Node name for S&R": "VAELoader", "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "models": [ { "directory": "vae", "name": "ae.safetensors", "url": "https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors" } ], "secondTabOffset": 80, "secondTabText": "Send Back", "secondTabWidth": 65, "tabWidth": 65, "tabXOffset": 10, "ver": "0.3.73" }, "size": [ 324, 84 ], "type": "VAELoader", "widgets_values": [ "ae.safetensors" ] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": true }, "id": 106, "inputs": [], "mode": 0, "order": 11, "outputs": [], "pos": [ 12626.400023195467, 363.60005991042533 ], "properties": {}, "size": [ 225, 8 ], "title": "Hit run šŸ‘†", "type": "MarkdownNote", "widgets_values": [ "" ] } ], "revision": 0, "version": 0.4 }