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workflow_sdxl_turbo.json
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workflow_sdxl_turbo.json
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{
"input": {
"workflow": {
"3": {
"inputs": {
"seed": 457699577674669,
"steps": 3,
"cfg": 1.5,
"sampler_name": "euler_ancestral",
"scheduler": "normal",
"denoise": 1,
"model": ["4", 0],
"positive": ["6", 0],
"negative": ["7", 0],
"latent_image": ["5", 0]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"4": {
"inputs": {
"ckpt_name": "sd_xl_turbo_1.0_fp16.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"5": {
"inputs": {
"width": 1024,
"height": 1024,
"batch_size": 1
},
"class_type": "EmptyLatentImage",
"_meta": {
"title": "Empty Latent Image"
}
},
"6": {
"inputs": {
"text": "ancient rome, 4k photo",
"clip": ["4", 1]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"7": {
"inputs": {
"text": "text, watermark, blurry, ugly, deformed",
"clip": ["4", 1]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"8": {
"inputs": {
"samples": ["3", 0],
"vae": ["4", 2]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"9": {
"inputs": {
"filename_prefix": "images/rome",
"images": ["8", 0]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
}
}
}
}