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{"id":"c5b0d706-2f6e-434b-9188-31bc5480811b","revision":0,"last_node_id":1315,"last_link_id":2614,"nodes":[{"id":52,"type":"easy cleanGpuUsed","pos":[521.3412836629939,4604.54241073954],"size":[149.95859375,26],"flags":{"collapsed":false},"order":25,"mode":4,"inputs":[{"localized_name":"anything","name":"anything","type":"*","link":94}],"outputs":[{"localized_name":"output","name":"output","type":"*","links":[111]}],"title":"๐งน Clean VRAM","properties":{"Node name for S&R":"easy cleanGpuUsed","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.5.1"},"cnr_id":"comfyui-easy-use","ver":"9947b8be70e17ceabafa4fa7f476b54626de4704","enableTabs":false,"tabWidth":65,"tabXOffset":10,"hasSecondTab":false,"secondTabText":"Send Back","secondTabOffset":80,"secondTabWidth":65},"widgets_values":[],"color":"#232","bgcolor":"#353"},{"id":54,"type":"AILab_QwenVL_PromptEnhancer","pos":[29.739884160030694,4176.107982490318],"size":[468.8121679991118,454],"flags":{"collapsed":false},"order":20,"mode":4,"inputs":[{"localized_name":"model_name","name":"model_name","type":"COMBO","widget":{"name":"model_name"},"link":null},{"localized_name":"quantization","name":"quantization","type":"COMBO","widget":{"name":"quantization"},"link":null},{"localized_name":"attention_mode","name":"attention_mode","type":"COMBO","widget":{"name":"attention_mode"},"link":null},{"localized_name":"use_torch_compile","name":"use_torch_compile","type":"BOOLEAN","widget":{"name":"use_torch_compile"},"link":null},{"localized_name":"device","name":"device","type":"COMBO","widget":{"name":"device"},"link":null},{"localized_name":"prompt_text","name":"prompt_text","type":"STRING","widget":{"name":"prompt_text"},"link":96},{"localized_name":"enhancement_style","name":"enhancement_style","type":"COMBO","widget":{"name":"enhancement_style"},"link":null},{"localized_name":"custom_system_prompt","name":"custom_system_prompt","type":"STRING","widget":{"name":"custom_system_prompt"},"link":null},{"localized_name":"max_tokens","name":"max_tokens","type":"INT","widget":{"name":"max_tokens"},"link":null},{"localized_name":"temperature","name":"temperature","type":"FLOAT","widget":{"name":"temperature"},"link":null},{"localized_name":"top_p","name":"top_p","type":"FLOAT","widget":{"name":"top_p"},"link":null},{"localized_name":"repetition_penalty","name":"repetition_penalty","type":"FLOAT","widget":{"name":"repetition_penalty"},"link":null},{"localized_name":"keep_model_loaded","name":"keep_model_loaded","type":"BOOLEAN","widget":{"name":"keep_model_loaded"},"link":null},{"localized_name":"seed","name":"seed","type":"INT","widget":{"name":"seed"},"link":null}],"outputs":[{"localized_name":"ENHANCED_OUTPUT","name":"ENHANCED_OUTPUT","type":"STRING","links":[94,95]}],"properties":{"Node name for S&R":"AILab_QwenVL_PromptEnhancer","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"}},"widgets_values":["Qwen3-VL-4B-Instruct","None (FP16)","auto",false,"auto","","๐ Enhance","Role:\nYou are an expert Prompt Engineer specializing in high-fidelity image generation optimized specifically for Ideogram. Your mission is to expand the user's keyword into a professional-grade, visually grounded prompt using natural, descriptive sentences.\n\nIdeogram Core Rules:\n1. Pure Natural Language: Write in rich, descriptive, full sentences. Do not use weights, brackets, parameters, or technical shorthand (e.g., no '--ar', '::', or 'Sony A7R V').\n2. Lead with the Main Idea: Always place the image summary and main subject details at the very beginning of the prompt.\n3. Turn Negatives into Positives: Use affirmative visual opposites like \"a single unified composition from one perspective\" instead of negative constraints.[cite: 1]\n4. Concise Length: Keep the final prompt under 130โ150 words (around 200 tokens).[cite: 1]\n5. Default Subject: A tall, glamorous South Korean woman with a beautiful, curvy physique.\n\nโ
TOTAL RANDOMIZATION GUARANTEE (CRITICAL) โ
\nYou MUST completely randomize the framing, distance, and angle for every single generation. Do not biased towards full-body shots. Creatively alternate between:\n- Close-up portraits (focusing tightly on the face, eyes, and expressions)[cite: 1]\n- Medium chest-up or waist-up shots (focusing on her upper body and gestures)\n- Full-body fashion shots (capturing her whole figure from head to toe)[cite: 1]\nMatch her outfit and the surrounding environment description naturally to the chosen framing. If a close-up is chosen, focus on her facial details and upper attire; if a full-body shot is chosen, describe her shoes and the ground to anchor it.[cite: 1]\n\nThe 4-Part Structural Flow (to be written as one cohesive narrative paragraph):\n1. Image Summary & Main Subject (Early Placement):\nStart with the randomly chosen shot distance and a concise sentence describing the core subject (e.g., \"A close-up portrait of...\" or \"A full-body fashion photograph of...\").[cite: 1]\n2. Pose, Action & Attire:\nDescribe randomized movement, posture, gaze, and her detailed clothing ensemble. \n3. Environment, Lighting & Atmosphere:\nDescribe a rich, randomized setting and global lighting to establish the mood. Frame the environment as a single unified composition from one perspective.\n4. Framing & Polish:\nConclude with soft stylistic and texture polish (e.g., \"sharp focus showing skin pores and fine hair strands, with a shallow depth of field\").[cite: 1]\n\nOutput Instructions:\n- Output ONLY the final expanded prompt in English.\n- No meta-talk, no preamble, and no summary.\n- Deliver as a single, beautifully flowing descriptive paragraph.",512,0.7,0.9,1.1,true,744211941,"randomize"],"color":"#232","bgcolor":"#353"},{"id":55,"type":"PreviewImage","pos":[-408.4196413206971,5510.625048679761],"size":[602.0347677149718,641.575306816559],"flags":{},"order":17,"mode":4,"inputs":[{"localized_name":"์ด๋ฏธ์ง","name":"images","type":"IMAGE","link":97}],"outputs":[{"localized_name":"images","name":"images","type":"IMAGE","links":null}],"properties":{"Node name for 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name for S&R":"AILab_QwenVL_GGUF_Advanced","ue_properties":{"widget_ue_connectable":{"model_name":true,"device":true,"preset_prompt":true,"custom_prompt":true,"max_tokens":true,"temperature":true,"top_p":true,"repetition_penalty":true,"frame_count":true,"ctx":true,"n_batch":true,"gpu_layers":true,"image_max_tokens":true,"top_k":true,"pool_size":true,"keep_model_loaded":true,"seed":true},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Qwen3VL-4B-Instruct-Q4_K_M.gguf","auto","๐ผ๏ธ Detailed Description","Role:\nYou are a professional Image Prompt Engineer. Your task is to analyze the uploaded image and translate it into a technical English prompt for image generation, strictly following the standard hierarchy of prompt engineering to ensure consistent framing and detail.\n\nAnalysis & Output Hierarchy:\nYou must describe the image in one cohesive paragraph, strictly adhering to the following order:\n\nShot: Analyze and describe the distance between the camera and the subject (e.g., Wide, Medium Full, Close-up). Must capture the exact spatial scale of the original photo.\n\nAngle: Identify the camera's vertical and horizontal perspective (e.g., Eye-level, Low-angle).\n\nPose: Describe the subject's exact posture, gestures, and gaze direction.\n\nSubject & Worn Accessories: Detail the subjectโs physical features and only the accessories they are currently wearing or holding (e.g., \"a handbag slung over the shoulder\"). This prevents mixing subject accessories with background objects.\n\nOutfit: Describe the garment's structure (e.g., two-piece, halter-neck), fabric texture (e.g., ribbed), and fit.\n\nBackground & Environment: Detail the setting (e.g., garden, cafe), depth, and any objects not being worn by the subject (e.g., bags on tables, drinks).\n\nTechnical Details: Finalize with professional gear specs (Sony A7R V, 85mm f/1.2) and microscopic textures (micro-pores, vellus hair). Ensure the technical specs do not override the Shot/Distance defined in step 1.\n\nCore Rules:\n\nZero Commentary: Output only the resulting prompt. No introductions like \"Here is the prompt.\"\n\nStructure First: The \"Shot\" must always be the first descriptor to fix the AI's camera distance before it processes details.\n\nAccessory Separation: Strictly distinguish between \"worn\" items and \"environment\" items to avoid AI hallucinations.\n\nex) Medium Full shot, eye-level angle, woman with long straight black hair seated on a black leather chair at an outdoor cafรฉ balcony, gazing thoughtfully toward the right side of frame; wearing a form-fitting black halter-neck sleeveless top and slim-fit dark blue jeans, left hand resting gently on thigh while right hand holds a light beige fabric wristband or cuff near palm, no other accessories worn; background features lush green trees beyond glass railing with gravel path, distant figures in park setting under bright daylight sky, Sony A7R V, 85mm f/1.2 lens, sharp focus on skin texture and micro-pores visible along fingers and cheekbone contours",512,0.7,0.9,1.1,1,16384,256,30,4096,0,4194304,true,3312005969,"randomize"],"color":"#474539","bgcolor":"#2c4045"},{"id":67,"type":"AILab_QwenVL_GGUF_Advanced","pos":[204.65310853119212,4752.229750837315],"size":[340,516],"flags":{},"order":16,"mode":4,"inputs":[{"localized_name":"image","name":"image","shape":7,"type":"IMAGE","link":108},{"localized_name":"video","name":"video","shape":7,"type":"IMAGE","link":null},{"localized_name":"model_name","name":"model_name","type":"COMBO","widget":{"name":"model_name"},"link":null},{"localized_name":"device","name":"device","type":"COMBO","widget":{"name":"device"},"link":null},{"localized_name":"preset_prompt","name":"preset_prompt","type":"COMBO","widget":{"name":"preset_prompt"},"link":null},{"localized_name":"custom_prompt","name":"custom_prompt","type":"STRING","widget":{"name":"custom_prompt"},"link":null},{"localized_name":"max_tokens","name":"max_tokens","type":"INT","widget":{"name":"max_tokens"},"link":null},{"localized_name":"temperature","name":"temperature","type":"FLOAT","widget":{"name":"temperature"},"link":null},{"localized_name":"top_p","name":"top_p","type":"FLOAT","widget":{"name":"top_p"},"link":null},{"localized_name":"repetition_penalty","name":"repetition_penalty","type":"FLOAT","widget":{"name":"repetition_penalty"},"link":null},{"localized_name":"frame_count","name":"frame_count","type":"INT","widget":{"name":"frame_count"},"link":null},{"localized_name":"ctx","name":"ctx","type":"INT","widget":{"name":"ctx"},"link":null},{"localized_name":"n_batch","name":"n_batch","type":"INT","widget":{"name":"n_batch"},"link":null},{"localized_name":"gpu_layers","name":"gpu_layers","type":"INT","widget":{"name":"gpu_layers"},"link":null},{"localized_name":"image_max_tokens","name":"image_max_tokens","type":"INT","widget":{"name":"image_max_tokens"},"link":null},{"localized_name":"top_k","name":"top_k","type":"INT","widget":{"name":"top_k"},"link":null},{"localized_name":"pool_size","name":"pool_size","type":"INT","widget":{"name":"pool_size"},"link":null},{"localized_name":"keep_model_loaded","name":"keep_model_loaded","type":"BOOLEAN","widget":{"name":"keep_model_loaded"},"link":null},{"localized_name":"seed","name":"seed","type":"INT","widget":{"name":"seed"},"link":null}],"outputs":[{"localized_name":"RESPONSE","name":"RESPONSE","type":"STRING","links":[109]}],"properties":{"Node name for S&R":"AILab_QwenVL_GGUF_Advanced","ue_properties":{"widget_ue_connectable":{"model_name":true,"device":true,"preset_prompt":true,"custom_prompt":true,"max_tokens":true,"temperature":true,"top_p":true,"repetition_penalty":true,"frame_count":true,"ctx":true,"n_batch":true,"gpu_layers":true,"image_max_tokens":true,"top_k":true,"pool_size":true,"keep_model_loaded":true,"seed":true},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Qwen3VL-4B-Instruct-Q4_K_M.gguf","cuda:0","๐ผ๏ธ Detailed Description","Role:\nYou are a professional Image Prompt Engineer. Your task is to analyze the uploaded image and translate it into a technical English prompt for image generation, strictly following the standard hierarchy of prompt engineering to ensure consistent framing and detail.\n\nAnalysis & Output Hierarchy:\nYou must describe the image in one cohesive paragraph, strictly adhering to the following order:\n\nShot: Analyze and describe the distance between the camera and the subject (e.g., Wide, Medium Full, Close-up). Must capture the exact spatial scale of the original photo.\n\nAngle: Identify the camera's vertical and horizontal perspective (e.g., Eye-level, Low-angle).\n\nPose: Describe the subject's exact posture, gestures, and gaze direction.\n\nSubject & Worn Accessories: Detail the subjectโs physical features and only the accessories they are currently wearing or holding (e.g., \"a handbag slung over the shoulder\"). This prevents mixing subject accessories with background objects.\n\nOutfit: Describe the garment's structure (e.g., two-piece, halter-neck), fabric texture (e.g., ribbed), and fit.\n\nBackground & Environment: Detail the setting (e.g., garden, cafe), depth, and any objects not being worn by the subject (e.g., bags on tables, drinks).\n\nTechnical Details: Finalize with professional gear specs (Sony A7R V, 85mm f/1.2) and microscopic textures (micro-pores, vellus hair). Ensure the technical specs do not override the Shot/Distance defined in step 1.\n\nCore Rules:\n\nZero Commentary: Output only the resulting prompt. 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Workflows/Qwen260713.json
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