{ "9": { "inputs": { "image": "Goth Blonde - 004_00006_.png" }, "class_type": "LoadImage", "_meta": { "title": "Load Image" } }, "51": { "inputs": { "model": "llama-joycaption-beta-one-hf-llava", "memory_mode": "Balanced (8-bit)", "keep_loaded": true, "caption_template_mode": true, "caption_type": "JLC LoRA Literal", "caption_length": "any", "custom_prompt_mode": false, "prompt_preset": "default_literal", "system_prompt": "You are a helpful image-captioning assistant. Describe only what is visible in the image. Do not invent unseen context.", "custom_prompt": "", "max_new_tokens": 384, "temperature": 0.75, "top_p": 0.9, "top_k": 50, "repetition_penalty": 1, "max_size": 1024, "forbidden_phrases": "", "replace_pairs": "", "download_probe_only": false, "image": [ "85", 0 ], "pipeline_plan": [ "85", 1 ], "template_options": [ "55", 0 ] }, "class_type": "JLC_CaptionForgeJoy", "_meta": { "title": " JLC CaptionForge Joy Caption" } }, "52": { "inputs": { "model": "Qwen2.5-VL-7B-Instruct", "qwen_quantization": "Balanced (8-bit)", "keep_loaded": true, "caption_template_mode": true, "caption_type": "LoRA Literal", "caption_length": "any", "custom_prompt_mode": false, "prompt_preset": "default_literal", "system_prompt": "You are a helpful image-captioning assistant. Describe only what is visible in the image. Do not invent unseen context.", "custom_prompt": "", "max_new_tokens": 384, "temperature": 0.75, "top_p": 0.9, "top_k": 50, "repetition_penalty": 1.08, "max_size": 1024, "forbidden_phrases": "", "replace_pairs": "", "download_probe_only": false, "image": [ "51", 0 ], "pipeline_plan": [ "51", 1 ], "template_options": [ "51", 2 ] }, "class_type": "JLC_CaptionForgeQwen", "_meta": { "title": " JLC CaptionForge Qwen Caption" } }, "55": { "inputs": { "name_input__replacement_for_name": "", "option_01__character_name_required": false, "option_02__literal_visible_details_only": true, "option_03__no_roleplay_or_dialogue": true, "option_04__no_ambiguous_wording": true, "option_05__avoid_meta_lead_ins": true, "option_06__describe_facial_features": true, "option_07__eye_color_vs_makeup": true, "option_08__describe_makeup_separately": true, "option_09__describe_expression": true, "option_10__hair_color_and_style": true, "option_11__skin_tone_and_texture": true, "option_12__body_shape_and_proportions": true, "option_13__visible_anatomy_and_coverage": true, "option_14__stylized_material_traits": true, "option_15__clothing_pieces_clearly": true, "option_16__clothing_materials_textures": true, "option_17__precise_colors": false, "option_18__accessories_and_jewelry": false, "option_19__pose_and_stance": true, "option_20__hands_and_arms": true, "option_21__framing_shot_distance": true, "option_22__viewing_angle": true, "option_23__background_and_setting": true, "option_24__lighting": false, "option_25__image_style_medium": true, "option_26__watermark_only_if_present": false, "option_27__visible_text_if_relevant": true, "option_28__sfw_suggestive_nsfw_rating": false, "option_29__neutral_sensual_details": true, "option_30__vulgar_wording_allowed": true, "option_31__no_polite_euphemisms": true }, "class_type": "JLC_CaptionForgeExtraOptions", "_meta": { "title": " JLC CaptionForge Template Options" } }, "56": { "inputs": { "model": "huihui_ai/gemma-4-abliterated:26b", "custom_model_tag": "", "ollama_url": "http://127.0.0.1:11434", "keep_loaded": true, "caption_template_mode": true, "caption_type": "Descriptive", "caption_length": "any", "custom_prompt_mode": false, "prompt_preset": "female_character_lora", "system_prompt": "You are a multimodal image captioning engine for female character LoRA dataset preparation.\n\nYour job is to inspect the image and write one strong standalone caption.\n\nRules:\n- Describe only visible image content.\n- Output exactly one paragraph and nothing else.\n- Do not output analysis, reasoning, notes, bullet points, labels, or a thinking trace.\n- Do not roleplay, address the user, ask follow-up questions, or include safety disclaimers.\n- If a detail is uncertain, omit it rather than hedge.\n- Use direct dataset-caption language, not chatty commentary.", "custom_prompt": "Write one clean caption for a female character LoRA dataset.\n\nCaption priorities:\n- Be specific rather than generic.\n- Prioritize female-character-LoRA-relevant visual traits: subject type, pose, facial structure, expression, hair color and hairstyle, eye color, makeup color as distinct from eye color, lip shape and fullness, skin appearance, neck length, shoulder line, bust/chest shape, waist definition, hip width, body proportions, silhouette, legs, clothing construction, accessories, dominant colors, lighting, background, framing, and visual style.\n- Include visible anatomy and figure information when clear and relevant. Do not omit body-shape or facial-structure details merely because they are sensual, revealing, or anatomy-related.\n- If the image presents glamour, sensuality, revealing clothing, lingerie, swimwear, cleavage, underboob, sideboob, bare midriff, exposed hips, thighs, or other sexualized styling, describe that directly and matter-of-factly when visible.\n- Use strong, open dataset-caption language rather than timid euphemisms, but do not turn the caption into roleplay, commentary, or erotic prose.\n- Do not invent nudity, explicit acts, hidden anatomy, or hidden clothing details.\n- Do not force photo, render, doll, anime, realistic, or stylized language unless supported by the image.\n- Avoid meta phrases like \"this image shows\" or \"the picture depicts.\"\n- One paragraph only.\n\nFinal caption:", "max_new_tokens": 6000, "temperature": 0.9, "top_p": 0.6, "top_k": 80, "repetition_penalty": 1.03, "max_size": 1024, "request_timeout_seconds": 1800, "forbidden_phrases": "", "replace_pairs": "", "download_probe_only": false, "image": [ "58", 0 ], "pipeline_plan": [ "58", 1 ], "template_options": [ "58", 2 ] }, "class_type": "JLC_CaptionForgeOllamaCaption", "_meta": { "title": " JLC CaptionForge Ollama Caption" } }, "58": { "inputs": { "model": "qwen3.6:35B-A3B", "custom_model_tag": "", "ollama_url": "http://127.0.0.1:11434", "keep_loaded": true, "caption_template_mode": true, "caption_type": "Descriptive", "caption_length": "any", "custom_prompt_mode": false, "prompt_preset": "female_character_lora", "system_prompt": "You are a multimodal image captioning engine for female character LoRA dataset preparation.\n\nYour job is to inspect the image and write one strong standalone caption.\n\nRules:\n- Describe only visible image content.\n- Output exactly one paragraph and nothing else.\n- Do not output analysis, reasoning, notes, bullet points, labels, or a thinking trace.\n- Do not roleplay, address the user, ask follow-up questions, or include safety disclaimers.\n- If a detail is uncertain, omit it rather than hedge.\n- Use direct dataset-caption language, not chatty commentary.", "custom_prompt": "Write one clean caption for a female character LoRA dataset.\n\nCaption priorities:\n- Be specific rather than generic.\n- Prioritize female-character-LoRA-relevant visual traits: subject type, pose, facial structure, expression, hair color and hairstyle, eye color, makeup color as distinct from eye color, lip shape and fullness, skin appearance, neck length, shoulder line, bust/chest shape, waist definition, hip width, body proportions, silhouette, legs, clothing construction, accessories, dominant colors, lighting, background, framing, and visual style.\n- Include visible anatomy and figure information when clear and relevant. Do not omit body-shape or facial-structure details merely because they are sensual, revealing, or anatomy-related.\n- If the image presents glamour, sensuality, revealing clothing, lingerie, swimwear, cleavage, underboob, sideboob, bare midriff, exposed hips, thighs, or other sexualized styling, describe that directly and matter-of-factly when visible.\n- Use strong, open dataset-caption language rather than timid euphemisms, but do not turn the caption into roleplay, commentary, or erotic prose.\n- Do not invent nudity, explicit acts, hidden anatomy, or hidden clothing details.\n- Do not force photo, render, doll, anime, realistic, or stylized language unless supported by the image.\n- Avoid meta phrases like \"this image shows\" or \"the picture depicts.\"\n- One paragraph only.\n\nFinal caption:", "max_new_tokens": 6000, "temperature": 0.9, "top_p": 0.6, "top_k": 80, "repetition_penalty": 1.03, "max_size": 1024, "request_timeout_seconds": 1800, "forbidden_phrases": "", "replace_pairs": "", "download_probe_only": false, "image": [ "52", 0 ], "pipeline_plan": [ "52", 1 ], "template_options": [ "52", 2 ] }, "class_type": "JLC_CaptionForgeOllamaCaption", "_meta": { "title": " JLC CaptionForge Ollama Caption" } }, "67": { "inputs": { "inputcount": 2, "Update inputs": null, "image_1": [ "68", 0 ], "image_2": [ "9", 0 ] }, "class_type": "ImageBatchMulti", "_meta": { "title": "Image Batch Multi" } }, "68": { "inputs": { "image": "Flux.2__00297_.png" }, "class_type": "LoadImage", "_meta": { "title": "Load Image" } }, "81": { "inputs": { "output": "", "source": [ "84", 0 ] }, "class_type": "Display Any (rgthree)", "_meta": { "title": "Display Any (rgthree)" } }, "82": { "inputs": { "output": "", "source": [ "84", 1 ] }, "class_type": "Display Any (rgthree)", "_meta": { "title": "Display Any (rgthree)" } }, "84": { "inputs": { "Input - captions JSONL": "", "Input - image path": "", "Input - include caption families": "joy,qwen,ollama", "Input - max captions per family": 5, "Input - max total captions": 20, "Output - folder": "", "Output - run name": "captionforge_run", "Output - overwrite outputs": true, "Ollama - URL": "http://127.0.0.1:11434", "Ollama - keep loaded": true, "Ollama - request timeout seconds": 1800, "LoRA - trigger word": "", "LoRA - user caption anchor": "", "Fat Draft - model": "mistral-small:24b", "Fat Draft - custom Ollama model": "", "Fat Draft - prompt": "/no_think\n\nYou are a detail-preserving caption merger for LoRA dataset preparation.\n\nYou receive multiple captions of the same image. You do NOT see the image.\n\nTask:\nMerge all non-contradictory caption details into one deliberately over-complete draft caption.\n\nRules:\n- Do not validate against the image.\n- Do not decide that details are false just because they appear once.\n- Do not summarize aggressively.\n- Preserve concrete details from all captions.\n- Split contradictions by choosing cautious wording or listing the alternative only when needed.\n- Prefer specific visual language over generic language.\n- Keep visible body, clothing, material, accessory, color, pose, lighting, style, and framing details.\n- Preserve doll-like, glossy/plastic-like, material, garment-construction, body-shape, and facial-feature details when present.\n- Use neutral dataset-caption language, including visible sensual styling or revealing clothing when present.\n- Do not add details absent from the captions.\n- Treat subject names or trigger-like identity tokens as optional identity labels. Preserve them only when they appear consistently in the captions; do not let them replace visible description.\n- Output only one paragraph, no notes, no JSON.", "Fat Draft - max caption chars": 1536, "Fat Draft - max new tokens": 3096, "Fat Draft - temperature": 0.24, "Fat Draft - top p": 0.9, "Fat Draft - top k": 60, "Validator - model": "gemma4:26b", "Validator - custom Ollama model": "", "Validator - system prompt": "/no_think\nYou are a direct image validation engine. Inspect the image and answer only with the requested caption.", "Validator - prompt": "/no_think\n\nLook at the image and validate this draft caption.\n\nTask:\nReturn a corrected caption paragraph that keeps only image-supported details.\n\nRules:\n- Output only the corrected caption.\n- One paragraph.\n- No reasoning, no notes, no JSON.\n- Keep all true visible details from the draft.\n- Delete unsupported details.\n- Correct small visible errors.\n- Do not add new details unless needed to correct an error already present.\n- Preserve useful LoRA details: subject, face, hair, eyes, makeup, lips, skin texture, pose, body shape, outfit, accessories, materials, colors, lighting, background, framing, and visual style.\n- Visible sensual styling, revealing clothing, cleavage, thighs, bare skin, swimwear, lingerie, or body-shape details may be described neutrally when present.\n- Do not invent hidden anatomy, unseen clothing, explicit acts, or details contradicted by the image.", "Validator - max new tokens": 2112, "Validator - temperature": 0.0, "Validator - top p": 0.92, "Validator - top k": 80, "Formatter - model": "mistral-small:24b", "Formatter - custom Ollama model": "", "Formatter - prompt": "/no_think\n\nYou are a LoRA caption format converter. The validated paragraph is your only source of truth.\n\nOutput exactly two labeled lines:\n\nSHORT: \n\nTAGGY: \n\nSHORT must preserve the image's distinctive training identity across the whole source:\n1. subject, defining face/hair/body traits, and every major outfit piece/material;\n2. pose/action and key accessories or unusual visible details;\n3. setting, lighting, framing, and visual medium/style.\n\nOmit a category only when absent. Use only source details; never add, infer, euphemize, or correct. Compress wording, not category coverage. Do not copy only the source opening.\n\nTAGGY must preserve all concrete LoRA-useful source details as compact comma-separated phrases.\n\nNo markdown, reasoning, notes, or other labels.", "Formatter - max new tokens": 3200, "Formatter - temperature": 0.12, "Formatter - top p": 0.88, "Formatter - top k": 50, "Audit - write prompt JSONL": false, "Audit - preserve raw responses": false, "Final - TXT export format": "natural", "Final - write TXT sidecars": true, "Final - write JSONL": true, "Input - single image": [ "56", 0 ] }, "class_type": "JLC_CaptionForge", "_meta": { "title": " JLC CaptionForge Node" } }, "85": { "inputs": { "Planner - enabled": true, "Input - image path": "", "Input - recursive": false, "Input - filename glob": "*", "Output - folder": "", "Output - run name": "captionforge_run", "Output - overwrite outputs": true, "Ollama - URL": "http://127.0.0.1:11434", "Ollama - keep loaded": true, "Ollama - request timeout seconds": 1800, "LoRA - trigger word": "", "LoRA - user caption anchor": "", "Caption - Joy runs/image": "2", "Caption - Qwen runs/image": "1", "Caption - Ollama runs/image": "1", "Caption - base seed": 3, "Caption - seed mode": "increment", "Caption - temperature schedule": "0.7,0.8,0.9", "Caption - top p schedule": "0.6,0.7,0.8", "Caption - top k schedule": "60,70,80", "Caption - max image size": 1024, "Caption - max new tokens": 4096, "Distiller - model": "mistral-small:24b", "Distiller - custom Ollama model": "", "Distiller - prompt": "/no_think\n\nYou are a detail-preserving caption merger for LoRA dataset preparation.\n\nYou receive multiple captions of the same image. You do NOT see the image.\n\nTask:\nMerge all non-contradictory caption details into one deliberately over-complete draft caption.\n\nRules:\n- Do not validate against the image.\n- Do not decide that details are false just because they appear once.\n- Do not summarize aggressively.\n- Preserve concrete details from all captions.\n- Split contradictions by choosing cautious wording or listing the alternative only when needed.\n- Prefer specific visual language over generic language.\n- Keep visible body, clothing, material, accessory, color, pose, lighting, style, and framing details.\n- Preserve doll-like, glossy/plastic-like, material, garment-construction, body-shape, and facial-feature details when present.\n- Use neutral dataset-caption language, including visible sensual styling or revealing clothing when present.\n- Do not add details absent from the captions.\n- Treat subject names or trigger-like identity tokens as optional identity labels. Preserve them only when they appear consistently in the captions; do not let them replace visible description.\n- Output only one paragraph, no notes, no JSON.", "Distiller - seed": -1, "Distiller - max caption chars for LLM": 1536, "Distiller - num predict": 3096, "Distiller - temperature": 0.24, "Distiller - top p": 0.9, "Distiller - top k": 60, "Distiller - write prompt JSONL": false, "Distiller - preserve raw response": false, "Validator - model": "gemma4:26b", "Validator - custom Ollama model": "", "Validator - system prompt": "/no_think\nYou are a direct image validation engine. Inspect the image and answer only with the requested caption.", "Validator - prompt": "/no_think\n\nLook at the image and validate this draft caption.\n\nTask:\nReturn a corrected caption paragraph that keeps only image-supported details.\n\nRules:\n- Output only the corrected caption.\n- One paragraph.\n- No reasoning, no notes, no JSON.\n- Keep all true visible details from the draft.\n- Delete unsupported details.\n- Correct small visible errors.\n- Do not add new details unless needed to correct an error already present.\n- Preserve useful LoRA details: subject, face, hair, eyes, makeup, lips, skin texture, pose, body shape, outfit, accessories, materials, colors, lighting, background, framing, and visual style.\n- Visible sensual styling, revealing clothing, cleavage, thighs, bare skin, swimwear, lingerie, or body-shape details may be described neutrally when present.\n- Do not invent hidden anatomy, unseen clothing, explicit acts, or details contradicted by the image.", "Validator - seed": -1, "Validator - num predict": 2112, "Validator - temperature": 0.0, "Validator - top p": 0.92, "Validator - top k": 80, "Validator - write prompt JSONL": false, "Validator - preserve raw VLM response": false, "Formatter - model": "mistral-small:24b", "Formatter - custom Ollama model": "", "Formatter - prompt": "/no_think\n\nYou are a LoRA caption format converter. The validated paragraph is your only source of truth.\n\nOutput exactly two labeled lines:\n\nSHORT: \n\nTAGGY: \n\nSHORT must preserve the image's distinctive training identity across the whole source:\n1. subject, defining face/hair/body traits, and every major outfit piece/material;\n2. pose/action and key accessories or unusual visible details;\n3. setting, lighting, framing, and visual medium/style.\n\nOmit a category only when absent. Use only source details; never add, infer, euphemize, or correct. Compress wording, not category coverage. Do not copy only the source opening.\n\nTAGGY must preserve all concrete LoRA-useful source details as compact comma-separated phrases.\n\nNo markdown, reasoning, notes, or other labels.", "Formatter - seed": -1, "Formatter - num predict": 3200, "Formatter - temperature": 0.12, "Formatter - top p": 0.88, "Formatter - top k": 50, "Formatter - write prompt JSONL": false, "Formatter - preserve raw response": false, "Final - write TXT sidecars": true, "Final - write JSONL": true, "Input - single image": [ "67", 0 ] }, "class_type": "JLC_CaptionForge_Pipeline_Planner", "_meta": { "title": " JLC CaptionForge Pipeline Planner" } } }