266 lines
5.0 KiB
JSON
266 lines
5.0 KiB
JSON
{
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"29": {
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"inputs": {
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"filename_prefix": "ZImage_T2I_",
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"images": [
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"30:8",
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0
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]
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},
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"class_type": "SaveImage",
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"_meta": {
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"title": "保存图片到 output"
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}
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},
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"49": {
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"inputs": {
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"aspect_ratio": "1:1 (Square)",
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"megapixels": 1,
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"multiple": 8
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},
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"class_type": "ResolutionSelector",
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"_meta": {
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"title": "分辨率选择器"
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}
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},
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"30:10": {
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"inputs": {
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"unet_name": "z_image_turbo_bf16.safetensors",
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"weight_dtype": "default",
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"device": "cuda:0"
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},
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"class_type": "UNETLoaderMultiGPU",
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"_meta": {
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"title": "UNet · cuda:0"
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}
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},
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"30:11": {
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"inputs": {
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"clip_name": "qwen_3_4b.safetensors",
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"type": "lumina2",
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"device": "cuda:1"
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},
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"class_type": "CLIPLoaderMultiGPU",
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"_meta": {
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"title": "CLIP · cuda:1"
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}
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},
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"30:12": {
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"inputs": {
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"vae_name": "ae.safetensors",
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"device": "cuda:1"
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},
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"class_type": "VAELoaderMultiGPU",
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"_meta": {
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"title": "VAE · cuda:1"
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}
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},
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"30:14": {
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"inputs": {
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"shift": 5,
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"model": [
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"30:10",
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0
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]
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},
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"class_type": "ModelSamplingAuraFlow",
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"_meta": {
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"title": "采样算法（AuraFlow）"
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}
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},
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"30:6": {
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"inputs": {
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"text": [
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"30:20",
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0
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],
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"clip": [
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"30:11",
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0
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP文本编码"
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}
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},
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"30:13": {
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"inputs": {
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"conditioning": [
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"30:6",
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0
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]
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},
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"class_type": "ConditioningZeroOut",
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"_meta": {
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"title": "条件零化"
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}
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},
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"30:5": {
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"inputs": {
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"width": [
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"49",
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0
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],
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"height": [
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"49",
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1
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],
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"batch_size": 1
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},
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"class_type": "EmptySD3LatentImage",
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"_meta": {
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"title": "空Latent图像（SD3）"
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}
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},
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"30:3": {
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"inputs": {
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"seed": 133701729959619,
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"steps": 8,
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"cfg": 1,
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"sampler_name": "res_multistep",
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"scheduler": "simple",
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"denoise": 1,
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"model": [
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"30:14",
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0
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],
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"positive": [
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"30:6",
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0
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],
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"negative": [
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"30:13",
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0
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],
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"latent_image": [
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"30:5",
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0
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]
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},
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"class_type": "KSampler",
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"_meta": {
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"title": "K采样器"
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}
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},
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"30:8": {
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"inputs": {
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"samples": [
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"30:3",
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0
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],
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"vae": [
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"30:12",
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0
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]
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},
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"class_type": "VAEDecode",
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"_meta": {
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"title": "VAE解码"
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}
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},
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"30:18": {
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"inputs": {
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"value": "You are an expert prompt engineer for text-to-image models.\nExpand the user's short request (often Chinese) into ONE detailed English visual prompt.\nRules:\n- Preserve the user intent exactly (subject, action, brand/product names, style).\n- Add concrete visual details: composition, lighting, camera angle, materials, colors, atmosphere.\n- Keep it as a single paragraph of natural English tags/phrases suitable for image generation.\n- Do NOT ask questions. Do NOT output Chinese. Do NOT wrap in quotes or markdown.\n- If the request is an ad/poster, emphasize product focus, clean layout, and commercial photography quality."
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},
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"class_type": "PrimitiveStringMultiline",
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"_meta": {
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"title": "System Prompt"
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}
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},
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"30:19": {
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"inputs": {
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"value": ""
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},
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"class_type": "PrimitiveStringMultiline",
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"_meta": {
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"title": "User Prompt"
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}
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},
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"30:17": {
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"inputs": {
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"string_a": [
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"30:18",
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0
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],
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"string_b": [
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"30:19",
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0
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],
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"delimiter": ""
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},
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"class_type": "StringConcatenate",
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"_meta": {
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"title": "连接"
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}
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},
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"30:16": {
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"inputs": {
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"prompt": [
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"30:17",
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0
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],
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"max_length": 128,
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"sampling_mode": "on",
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"sampling_mode.temperature": 0.25,
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"sampling_mode.top_k": 32,
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"sampling_mode.top_p": 0.88,
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"sampling_mode.min_p": 0.02,
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"sampling_mode.repetition_penalty": 1.08,
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"sampling_mode.seed": 0,
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"sampling_mode.presence_penalty": 0,
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"thinking": false,
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"use_default_template": true,
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"clip": [
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"30:11",
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0
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]
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},
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"class_type": "TextGenerate",
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"_meta": {
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"title": "TextGenerate"
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}
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},
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"30:24": {
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"inputs": {
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"value": true
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},
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"class_type": "PrimitiveBoolean",
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"_meta": {
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"title": "Refine Prompt?"
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}
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},
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"30:21": {
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"inputs": {
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"switch": [
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"30:24",
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0
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],
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"on_false": [
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"30:19",
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0
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],
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"on_true": [
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"30:16",
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0
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]
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},
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"class_type": "ComfySwitchNode",
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"_meta": {
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"title": "切换"
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}
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},
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"30:20": {
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"inputs": {
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"source": [
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"30:21",
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0
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]
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},
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"class_type": "PreviewAny",
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"_meta": {
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"title": "预览任意"
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}
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}
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}
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