{ "_comment": "Fine-tune 用データセット生成 workflow。base=hakushiMixAnima_v02 + LoRA=anima-highres-aesthetic-boost strength 1.0、Anima 公式推奨 30 step CFG=4.5 er_sde simple、ModelSamplingAuraFlow shift=3.0 込み。node ID は scripts/generate_dataset.py の patch_workflow hardcode に合わせて positive=5 latent=7 KSampler=8。", "1": { "class_type": "UNETLoader", "inputs": { "unet_name": "hakushiMixAnima_v02.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-highres-aesthetic-boost.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": "CLIPTextEncode", "inputs": { "clip": ["3", 0], "text": "worst quality, low quality, score_1, score_2, score_3, score_4, blurry, deformed, bad anatomy, extra limbs, fused fingers, artist name, text, watermark, lowres, jpeg artifacts, censored" } }, "5": { "class_type": "CLIPTextEncode", "inputs": { "clip": ["3", 0], "text": "$PROMPT" } }, "6": { "class_type": "VAELoader", "inputs": { "vae_name": "qwen_image_vae.safetensors" } }, "7": { "class_type": "EmptyLatentImage", "inputs": { "width": "$WIDTH", "height": "$HEIGHT", "batch_size": 1 } }, "8": { "class_type": "KSampler", "inputs": { "model": ["2b", 0], "positive": ["5", 0], "negative": ["4", 0], "latent_image": ["7", 0], "seed": "$SEED", "steps": 30, "cfg": 4.5, "sampler_name": "er_sde", "scheduler": "simple", "denoise": 1.0 } }, "9": { "class_type": "VAEDecode", "inputs": { "samples": ["8", 0], "vae": ["6", 0] } }, "10": { "class_type": "SaveImage", "inputs": { "filename_prefix": "finetune_data", "images": ["9", 0] } } }