rapid-anima / scripts /anima_workflow_turbo.json
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Initial commit: rapid-anima distillation codebase
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{
"_comment": "Anima + Turbo LoRA workflow. 8 step, CFG 1 (Civitai 公式推奨)。$PROMPT/$WIDTH/$HEIGHT/$SEED は generate_dataset.py が置換。",
"1": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "anima-base-v1.0.safetensors",
"weight_dtype": "default"
}
},
"2": {
"class_type": "ModelSamplingAuraFlow",
"inputs": {
"model": ["1", 0],
"shift": 3.0
}
},
"2b": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"model": ["2", 0],
"lora_name": "anima_turbo.safetensors",
"strength_model": 1.0
}
},
"3": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "qwen_3_06b_base.safetensors",
"type": "stable_diffusion",
"device": "default"
}
},
"4": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "qwen_image_vae.safetensors"
}
},
"5": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "$PROMPT",
"clip": ["3", 0]
}
},
"6": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "",
"clip": ["3", 0]
}
},
"7": {
"class_type": "EmptyLatentImage",
"inputs": {
"width": "$WIDTH",
"height": "$HEIGHT",
"batch_size": 1
}
},
"8": {
"class_type": "KSampler",
"inputs": {
"model": ["2b", 0],
"positive": ["5", 0],
"negative": ["6", 0],
"latent_image": ["7", 0],
"seed": "$SEED",
"steps": 8,
"cfg": 1.0,
"sampler_name": "er_sde",
"scheduler": "simple",
"denoise": 1.0
}
},
"9": {
"class_type": "VAEDecode",
"inputs": {
"samples": ["8", 0],
"vae": ["4", 0]
}
},
"10": {
"class_type": "SaveImage",
"inputs": {
"images": ["9", 0],
"filename_prefix": "anima_turbo"
}
}
}