{ "id": "9ae6082b-c7f4-433c-9971-7a8f65a3ea65", "revision": 0, "last_node_id": 241, "last_link_id": 418, "nodes": [ { "id": 91, "type": "MarkdownNote", "pos": [ -180, 1080 ], "size": [ 680, 1240 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "title": "Note: PiD", "properties": {}, "widgets_values": [ "## PiD — Latent Upscale & Decode\n\nPiD (Pixel Diffusion Decoder) turns a diffusion **latent** into a **4× super-resolved image** in 4 distilled pixel-space steps — no separate VAE decode.\n\nPiD matches checkpoints by the **VAE / latent space** of the upstream model (the encoder side), not the diffusion model name alone.\n\n**This workflow** uses **Z-Image-Turbo** (1024 px latent → 4096 px output). You can also find **Flux.1** and **FLUX.2** workflows in the template library — generate a latent with the matching VAE, then feed it into the PiD subgraph with the corresponding checkpoint below.\n\n### Checkpoints\n\nDownload from [Comfy-Org/PixelDiT](https://huggingface.co/Comfy-Org/PixelDiT) → `models/diffusion_models/`. Set PiD output size to **4×** the input latent resolution.\n\n| Checkpoint | Input → Output | Compatible latent (VAE backbone) |\n| --- | --- | --- |\n| `pid_flux1_512_to_2048_4step_bf16` | 512 → 2048 | Flux1-dev 16-ch VAE (Flux.1, Z-Image) |\n| `pid_flux1_1024_to_4096_4step_bf16` | 1024 → 4096 | Flux1-dev 16-ch VAE (Flux.1, Z-Image) *(this workflow)* |\n| `pid_flux2_512_to_2048_4step_bf16` | 512 → 2048 | Flux2-dev 128-ch VAE (FLUX.2) |\n| `pid_flux2_1024_to_4096_4step_bf16` | 1024 → 4096 | Flux2-dev 128-ch VAE (FLUX.2) |\n| `pid_sd3_512_to_2048_4step_bf16` | 512 → 2048 | SD3 medium 16-ch VAE |\n| `pid_sd3_1024_to_4096_4step_bf16` | 1024 → 4096 | SD3 medium 16-ch VAE |\n\nZ-Image shares Flux1's VAE — no separate PiD checkpoint; use the **flux1** rows above.\n\n### Settings ([subgraph](https://docs.comfy.org/interface/features/subgraph))\n\nConfigure these on the **Latent Upscale Decode (PiD)** subgraph:\n\n**latent_format:** `flux` for Flux1 / Flux2 / Z-Image (`sd3` for SD3; Flux2 auto-detected by 128 ch)\n\n### degrade_sigma\n\nHow \"finished\" the input latent is — which point in diffusion PiD should start decoding from.\n\n| Value | Latent state | When to use |\n| --- | --- | --- |\n| **0.0** (default) | Fully denoised, clean | Normal KSampler output — keep default |\n| **0.1 – 0.8** | Partially denoised, still blurry | Early-stopped or noisy upstream latent |\n| **1.0** | Pure noise | No prior generation; decode from scratch |" ], "color": "#222", "bgcolor": "#000" }, { "id": 93, "type": "ImageCompare", "pos": [ 1950, 1070 ], "size": [ 950, 950 ], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "name": "image_a", "shape": 7, "type": "IMAGE", "link": 131 }, { "name": "image_b", "shape": 7, "type": "IMAGE", "link": 116 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "ImageCompare" }, "widgets_values": [] }, { "id": 94, "type": "b6f63f3c-4f79-4394-83c3-552b6b84af62", "pos": [ 1500, 1060 ], "size": [ 390, 460 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "name": "latent", "type": "LATENT", "link": 414 }, { "label": "prompt", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": 413 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 116, 409 ] } ], "properties": { "proxyWidgets": [ [ "85", "text" ], [ "84", "width" ], [ "84", "height" ], [ "75", "noise_seed" ], [ "86", "latent_format" ], [ "86", "degrade_sigma" ], [ "82", "unet_name" ], [ "74", "clip_name" ] ], "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [] }, { "id": 95, "type": "c20beb1e-2a45-4872-913e-21018c09c578", "pos": [ 1040, 1060 ], "size": [ 400, 470 ], "flags": {}, "order": 3, "mode": 0, "inputs": [ { "label": "prompt", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": 407 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 131, 132 ] }, { "name": "LATENT", "type": "LATENT", "links": [ 414 ] } ], "properties": { "proxyWidgets": [ [ "27", "text" ], [ "13", "width" ], [ "13", "height" ], [ "3", "seed" ], [ "3", "steps" ], [ "28", "unet_name" ], [ "30", "clip_name" ], [ "29", "vae_name" ], [ "3", "control_after_generate" ] ], "cnr_id": "comfy-core", "ver": "0.3.73", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [] }, { "id": 96, "type": "PreviewImage", "pos": [ 1040, 1600 ], "size": [ 400, 420 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 132 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "PreviewImage" }, "widgets_values": [] }, { "id": 232, "type": "PrimitiveStringMultiline", "pos": [ 540, 1070 ], "size": [ 430, 290 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 407, 413 ] } ], "title": "Text String (Prompt)", "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "PrimitiveStringMultiline" }, "widgets_values": [ "A cinematic shot of a solitary figure viewed from behind, standing on a circular platform inside a massive concrete tube structure. The person is wearing a long beige trench coat and looking out through the large circular opening at a dense cityscape of tall skyscrapers with grid-like windows. The composition features strong concentric circles and framing, creating a sense of depth and isolation. The lighting is soft and diffused daylight, casting gentle shadows within the curved architecture. The art style is photorealistic with a slightly muted color palette dominated by beige, grey, and concrete tones. High resolution, architectural photography, 8k, sharp focus on the subject and background buildings, volumetric lighting, detailed texture of the concrete walls and fabric coat." ] }, { "id": 233, "type": "SaveImage", "pos": [ 1510, 1590 ], "size": [ 380, 420 ], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 409 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "SaveImage" }, "widgets_values": [ "PiD" ] }, { "id": 241, "type": "MarkdownNote", "pos": [ -810, 1080 ], "size": [ 620, 1428.421875 ], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Model Links", "properties": {}, "widgets_values": [ "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [ModelScope:Comfy-Org/PixelDiT](https://modelscope.cn/models/Comfy-Org/PixelDiT)\n- [Hugging Face:Comfy-Org/z_image_turbo](https://huggingface.co/Comfy-Org/z_image_turbo)\n- [ModelScope:Comfy-Org/z_image_turbo](https://modelscope.cn/models/Comfy-Org/z_image_turbo)\n\nRepacks: [Comfy-Org/PixelDiT](https://huggingface.co/Comfy-Org/PixelDiT)\n\n### Z Image Turbo\n**text_encoders**\n\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors) (7.49 GB)\n\n**diffusion_models**\n\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors) (11.46 GB)\n\n**vae**\n\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors) (319.8 MB)\n\n### PiD\n\n**diffusion_models** (512→2048 / 2k variant)\n\n- [pid_flux1_512_to_2048_4step_bf16.safetensors](https://huggingface.co/Comfy-Org/PixelDiT/resolve/main/diffusion_models/pid_flux1_512_to_2048_4step_bf16.safetensors) (2.54 GB)\n- [pid_flux2_512_to_2048_4step_bf16.safetensors](https://huggingface.co/Comfy-Org/PixelDiT/resolve/main/diffusion_models/pid_flux2_512_to_2048_4step_bf16.safetensors) (2.54 GB)\n- [pid_sd3_512_to_2048_4step_bf16.safetensors](https://huggingface.co/Comfy-Org/PixelDiT/resolve/main/diffusion_models/pid_sd3_512_to_2048_4step_bf16.safetensors) (2.54 GB)\n\n**diffusion_models** (1024→4096 / 2kto4k variant — used in this workflow)\n\n- [pid_flux1_1024_to_4096_4step_bf16.safetensors](https://huggingface.co/Comfy-Org/PixelDiT/resolve/main/diffusion_models/pid_flux1_1024_to_4096_4step_bf16.safetensors) (2.54 GB)\n- [pid_flux2_1024_to_4096_4step_bf16.safetensors](https://huggingface.co/Comfy-Org/PixelDiT/resolve/main/diffusion_models/pid_flux2_1024_to_4096_4step_bf16.safetensors) (2.54 GB)\n- [pid_sd3_1024_to_4096_4step_bf16.safetensors](https://huggingface.co/Comfy-Org/PixelDiT/resolve/main/diffusion_models/pid_sd3_1024_to_4096_4step_bf16.safetensors) (2.54 GB)\n\n**text_encoders** (load with `pixeldit` type)\n\n- [gemma_2_2b_it_elm_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/PixelDiT/resolve/main/text_encoders/gemma_2_2b_it_elm_fp8_scaled.safetensors) (2.44 GB)\n- [gemma_2_2b_it_elm_bf16.safetensors](https://huggingface.co/Comfy-Org/PixelDiT/resolve/main/text_encoders/gemma_2_2b_it_elm_bf16.safetensors) (4.87 GB)\n\nPiD uses built-in **pixel_space** VAE — no separate VAE file needed.\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ ├── gemma_2_2b_it_elm_fp8_scaled.safetensors\n│ │ └── qwen_3_4b.safetensors\n│ ├── 📂 diffusion_models/\n│ │ ├── pid_flux1_1024_to_4096_4step_bf16.safetensors\n│ │ └── z_image_turbo_bf16.safetensors\n│ └── 📂 vae/\n│ └── ae.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" ], "color": "#222", "bgcolor": "#000" } ], "links": [ [ 116, 94, 0, 93, 1, "IMAGE" ], [ 131, 95, 0, 93, 0, "IMAGE" ], [ 132, 95, 0, 96, 0, "IMAGE" ], [ 407, 232, 0, 95, 0, "STRING" ], [ 409, 94, 0, 233, 0, "IMAGE" ], [ 413, 232, 0, 94, 1, "STRING" ], [ 414, 95, 1, 94, 0, "LATENT" ] ], "groups": [], "definitions": { "subgraphs": [ { "id": "b6f63f3c-4f79-4394-83c3-552b6b84af62", "version": 1, "state": { "lastGroupId": 10, "lastNodeId": 241, "lastLinkId": 418, "lastRerouteId": 0 }, "revision": 0, "config": {}, "name": "Latent Upscale Decode (PiD)", "inputNode": { "id": -10, 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