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工作流 / 图像工具 / 图像放大：PiD潜空间解码
图像放大：PiD潜空间解码

图像放大：PiD潜空间解码

Image Upscale: PiD Latent Decode

从扩散模型输入潜空间图像并选择一个PiD检查点。在单次传递中生成4倍或8倍放大的高分辨率解码图像。

图像工具 8 个节点 2 次使用 ComfyUI ≥ 0.23.0 ComfyUI 64 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

需要的权重

这个工作流引用了 5 个权重文件，其中 5 个能在本站模型库里找到。

ae.safetensors 在模型库查看
gemma_2_2b_it_elm_fp8_scaled.safetensors 在模型库查看
pid_flux1_1024_to_4096_4step_bf16.safetensors 在模型库查看
qwen_3_4b.safetensors 在模型库查看
z_image_turbo_bf16.safetensors 在模型库查看

节点构成

MarkdownNote × 2
ImageCompare × 1
b6f63f3c-4f79-4394-83c3-552b6b84af62 × 1
c20beb1e-2a45-4872-913e-21018c09c578 × 1
PreviewImage × 1
PrimitiveStringMultiline × 1
SaveImage × 1

官方标注的模型

PiD

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

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26 "## 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 |"
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389 "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"
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