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"flags": {}, "order": 20, "mode": 0, "inputs": [], "outputs": [], "title": "Model Links", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "# LTX-2.3 — Face Identity Workflow (BFS)\n\n* Hugging Face: [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3/)\n* GitHub: [LTX-2](https://github.com/Lightricks/LTX-2)\n\nThis workflow adds **identity-preserving reference-to-video** (keep a person's face across the\ngenerated video) using the **BFS Best-Face-ID** LoRA + the **BFS Nodes**.\n\n---\n\n## ⚙️ Required Custom Nodes\n\nInstall **ComfyUI-BFSNodes** (needed for the Face-ID / Head-Swap nodes):\n\n* GitHub: [alisson-anjos/ComfyUI-BFSNodes](https://github.com/alisson-anjos/ComfyUI-BFSNodes)\n\n> ComfyUI Manager → *Install via Git URL* → paste the URL above → restart.\n> Dependencies (`insightface`, `transformers`, …) install automatically.\n\nThe base LTX-2.3 nodes come from **ComfyUI-LTXVideo** (installed via Manager).\n\n---\n\n## LTX-2.3 Prompting Tips\n\n1. **Core Actions**: describe events and actions as they happen over time.\n2. **Visual Details**: describe all visual details you want to appear in the video.\n3. **Audio**: describe any sounds and dialogue needed for the scene.\n\n### Extra tip for Face-ID 🔑\n\nIdentity in LTX is **strongly prompt-driven** — the more the prompt describes the person, the\nbetter the face holds. **Describe the reference person's identity attributes** (skin tone, hair\ncolor/length/style, eye color, facial hair, glasses, face shape) at the start of the prompt.\nThe workflow's **Prompt Enhancer** can look at the reference image and add these attributes for\nyou automatically, so you don't have to write them by hand.\n\n---\n\n## Required Models and Files\n\n### diffusion_models\n\n**Option 1**\n\n* [ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/diffusion_models/ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors)\n\n> Requires the **distilled LoRA** to generate videos in **8 steps**.\n\n**Option 2**\n\n* [ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/diffusion_models/ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors)\n\n> **Does not require** the distilled LoRA.\n\n---\n\n### vaes\n\n* [LTX23_audio_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/LTX23_audio_vae_bf16.safetensors)\n* [LTX23_video_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/LTX23_video_vae_bf16.safetensors)\n\n**For preview**\n\n* [taeltx2_3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/taeltx2_3.safetensors)\n\n---\n\n### projection text encoder\n\n* [ltx-2.3_text_projection_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors)\n\n---\n\n### text encoder\n\n* [gemma_3_12B_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/ltx-2/blob/main/split_files/text_encoders/gemma_3_12B_it_fp8_scaled.safetensors)\n\n---\n\n### loras\n\n**Base / distilled**\n\n* [ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/loras/ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors)\n — only needed with the **dev** diffusion model (Option 1) for 8-step generation.\n\n**Face Identity (this workflow)**\n\n* [Best_FaceID_v1.0_LoRA.safetensors](https://huggingface.co/Alissonerdx/LTX-Best-Face-ID/resolve/main/Best_FaceID_v1.0_LoRA.safetensors) — **required** for Face-ID.\n* *(Optional)* [Best_FaceID_v1.0_ArcFace_Projector.safetensors](https://huggingface.co/Alissonerdx/LTX-Best-Face-ID/resolve/main/Best_FaceID_v1.0_ArcFace_Projector.safetensors) — extra ArcFace tokens for the identity node. **Marginal effect — you can leave it on `None`.**\n\n**Head-Swap (optional, different task)**\n\n* [head_swap_v3_rank_adaptive_fro_098.safetensors](https://huggingface.co/Alissonerdx/BFS-Best-Face-Swap-Video/blob/main/ltx-2.3/head_swap_v3_rank_adaptive_fro_098.safetensors)\n\n---\n\n### upscalers (optional)\n\n**Spatial upscaler**\n\n* [ltx-2.3-spatial-upscaler-x2-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors)\n\n**Temporal upscaler**\n\n* [ltx-2.3-temporal-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-temporal-upscaler-x2-1.0.safetensors)\n\n---\n\n## Model Folder Structure\n\n```text\n📂 ComfyUI/\n├── 📂 custom_nodes/\n│ ├── 📂 ComfyUI-LTXVideo/ # base LTX-2.3 nodes\n│ └── 📂 ComfyUI-BFSNodes/ # Face-ID / Head-Swap nodes\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ ├── ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors\n│ │ └── ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors\n│ ├── 📂 vae/\n│ │ ├── LTX23_audio_vae_bf16.safetensors\n│ │ ├── LTX23_video_vae_bf16.safetensors\n│ │ └── taeltx2_3.safetensors\n│ ├── 📂 text_encoders/\n│ │ ├── ltx-2.3_text_projection_bf16.safetensors\n│ │ └── gemma_3_12B_it_fp8_scaled.safetensors\n│ ├── 📂 loras/\n│ │ ├── ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors\n│ │ ├── Best_FaceID_v1.0_LoRA.safetensors\n│ │ ├── Best_FaceID_v1.0_ArcFace_Projector.safetensors # optional\n│ │ └── head_swap_v3_rank_adaptive_fro_098.safetensors # optional\n│ └── 📂 latent_upscale_models/\n│ ├── ltx-2.3-spatial-upscaler-x2-1.1.safetensors\n│ └── ltx-2.3-temporal-upscaler-x2-1.0.safetensors\n```\n\n\n---\n\n## 🎭 Using Face-ID (how the identity nodes connect)\n\n1. Load LTX-2.3 as usual (checkpoint + Gemma text encoder + VAEs).\n2. Load **`Best_FaceID_v1.0_LoRA.safetensors`** on the MODEL path (LoraLoader).\n3. Add the **LTX Identity Transfer** node (from BFS Nodes) and feed it:\n * the **reference image** (a clean, frontal, well-lit close-up of the person),\n * your text prompt (via the positive conditioning),\n * `identity_projector` → **`None`** (or the ArcFace projector file — marginal).\n4. Send the node's **positive / negative / latent / model** into the sampler.\n5. Sampling: connect the negative, use **CFG 3–5**, and **do not** use LightX2V with it.\n\nThe identity comes from the reference **overlap** (source-phase RoPE) + the LoRA. Use a clean\nfrontal reference — identity quality tracks reference quality closely.\n\n---\n\n## Important Notes\n\n* If you use **`ltx-2-3-22b-dev_...`** (Option 1), you also need the **distilled LoRA** for 8-step videos.\n* If you use **`ltx-2.3-22b-distilled_..._v3.safetensors`** (Option 2), the distilled LoRA is **not required**.\n* **`taeltx2_3.safetensors`** is used for **preview**.\n* Both **spatial** and **temporal** upscalers are **optional**.\n* Face-ID needs the **BFS Nodes** installed. The **ArcFace projector** is optional (marginal).\n\n---\n\n## Report Issues\n\nBefore reporting any issue, update ComfyUI first:\n[ComfyUI update guide](https://docs.comfy.org/installation/update_comfyui)\n\n> Note: Desktop and Cloud releases follow stable builds, so some models supported in nightly versions may not be available yet.\n\n### Where to report\n\n* **Face-ID / BFS nodes**: [ComfyUI-BFSNodes/issues](https://github.com/alisson-anjos/ComfyUI-BFSNodes/issues)\n* **LTX-2.3 workflow**: [ComfyUI-LTXVideo/issues](https://github.com/Lightricks/ComfyUI-LTXVideo/issues)\n* Cannot run / runtime errors: [ComfyUI/issues](https://github.com/Comfy-Org/ComfyUI/issues)\n* UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n" ], "color": "#222", "bgcolor": "#000" }, { "id": 131, "type": "RandomNoise", "pos": [ 3739.4907591096758, 4095.8217071663703 ], "size": [ 280, 110 ], "flags": {}, "order": 21, "mode": 0, "inputs": [], "outputs": [ { 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"7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "2_pass_result" ], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 147, "type": "GetNode", "pos": [ 4114.2717622466735, 4687.569899779949 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 30, "mode": 0, "inputs": [], "outputs": [ { "name": "VAE", "type": "VAE", "links": [ 183 ] } ], "title": "Get_video_vae", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "video_vae" ], "color": "#322", "bgcolor": "#533" }, { "id": 166, "type": "CreateVideo", "pos": [ 4819.40533697246, 5057.400210288126 ], "size": [ 270, 102 ], "flags": { "collapsed": false }, "order": 95, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 200 }, { "name": "audio", "shape": 7, "type": "AUDIO", "link": 201 }, { "name": "fps", "type": "FLOAT", "widget": { "name": "fps" }, "link": 202 } ], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [ 203 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.5.1", "Node name for S&R": "CreateVideo", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ 24, 8 ] }, { "id": 124, "type": "LTXVAudioVAEDecode", "pos": [ 2253.027831069499, 4351.039530246969 ], "size": [ 270, 100 ], "flags": {}, "order": 183, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 121 }, { "label": "Audio VAE", "name": "audio_vae", "type": "VAE", "link": 122 } ], "outputs": [ { "name": "Audio", "type": "AUDIO", "links": [ 123 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.7.0", "Node name for S&R": "LTXVAudioVAEDecode", "ue_properties": { "widget_ue_connectable": {}, "version": "7.7", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [] }, { "id": 55, "type": "LTXVSeparateAVLatent", "pos": [ 2258.5011987396524, 4089.8793060642947 ], "size": [ 240, 60 ], "flags": {}, "order": 177, "mode": 0, "inputs": [ { "name": "av_latent", "type": "LATENT", "link": 30 } ], "outputs": [ { "name": "video_latent", "type": "LATENT", "links": [ 188, 222 ] }, { "name": "audio_latent", "type": "LATENT", "links": [ 121, 190 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.5.1", "Node name for S&R": "LTXVSeparateAVLatent", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [] }, { "id": 49, "type": "GetNode", "pos": [ 598.1179508919461, 4960.560029916839 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 31, "mode": 0, "inputs": [], "outputs": [ { "name": "VAE", "type": "VAE", "links": [ 103, 226 ] } ], "title": "Get_audio_vae", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "audio_vae" ], "color": "#322", "bgcolor": "#533" }, { "id": 174, "type": "SetNode", "pos": [ -1673.6557127221602, 4570.819184416196 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 109, "mode": 0, "inputs": [ { "name": "INT", "type": "INT", "link": 227 } ], "outputs": [ { "name": "INT", "type": "INT", "links": null } ], "title": "Set_height", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "height", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "height" ], "color": "#1b4669", "bgcolor": "#29699c" }, { "id": 175, "type": "SetNode", "pos": [ -1670.2737575757133, 4471.455291361992 ], "size": [ 210, 50 ], "flags": { "collapsed": true }, "order": 108, "mode": 0, "inputs": [ { "name": "INT", "type": "INT", "link": 228 } ], "outputs": [ { "name": "INT", "type": "INT", "links": null } ], "title": "Set_width", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "width", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "width" ], "color": "#1b4669", "bgcolor": "#29699c" }, { "id": 177, "type": "GetNode", "pos": [ 677.8508022202269, 5418.334503909693 ], "size": [ 210, 50 ], "flags": { "collapsed": true }, "order": 32, "mode": 0, "inputs": [], "outputs": [ { "name": "INT", "type": "INT", "links": [ 231 ] } ], "title": "Get_height", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "height" ], "color": "#1b4669", "bgcolor": "#29699c" }, { "id": 178, "type": "GetNode", "pos": [ 687.122766850995, 5369.021109505425 ], "size": [ 210, 50 ], "flags": { "collapsed": true }, "order": 33, "mode": 0, "inputs": [], "outputs": [ { "name": "INT", "type": "INT", "links": [ 230 ] } ], "title": "Get_width", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "width" ], "color": "#1b4669", "bgcolor": "#29699c" }, { "id": 64, "type": "Reroute", "pos": [ 1508.6443095931752, 4179.198438115383 ], "size": [ 75, 26 ], "flags": {}, "order": 153, "mode": 0, "inputs": [ { "name": "", "type": "*", "link": 4475 } ], "outputs": [ { "name": "", "type": "MODEL", "links": [ 43, 53 ] } ], "properties": { "showOutputText": false, "horizontal": false, "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } } }, { "id": 113, "type": "LTXVEmptyLatentAudio", "pos": [ 868.3903674858418, 4951.062803793762 ], "size": [ 280, 170 ], "flags": {}, "order": 129, "mode": 0, "inputs": [ { "name": "audio_vae", "type": "VAE", "link": 103 }, { "name": "frames_number", "type": "INT", "widget": { "name": "frames_number" }, "link": 104 }, { "name": "frame_rate", "type": "INT", "widget": { "name": "frame_rate" }, "link": 106 } ], "outputs": [ { "name": "Latent", "type": "LATENT", "links": [ 114 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.68", "Node name for S&R": "LTXVEmptyLatentAudio", "ue_properties": { "widget_ue_connectable": {}, "version": "7.7", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ 97, 25, 1 ] }, { "id": 68, "type": "ManualSigmas", "pos": [ 1400.5062677169494, 4661.938621690577 ], "size": [ 499.93489583333337, 70 ], "flags": {}, "order": 34, "mode": 0, "inputs": [], "outputs": [ { "name": "SIGMAS", "type": "SIGMAS", "links": [] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.14.1", "Node name for S&R": "ManualSigmas", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0" ], "color": "#432", "bgcolor": "#653" }, { "id": 81, "type": "CFGGuider", "pos": [ 1647.5982882671638, 4217.76393273513 ], "size": [ 270, 106.66666666666667 ], "flags": {}, "order": 166, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 53 }, { "name": "positive", "type": "CONDITIONING", "link": 54 }, { "name": "negative", "type": "CONDITIONING", "link": 55 } ], "outputs": [ { "name": "GUIDER", "type": "GUIDER", "links": [ 68 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.64", "Node name for S&R": "CFGGuider", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ 1 ], "color": "#432", "bgcolor": "#653" }, { "id": 66, "type": "BasicScheduler", "pos": [ 1638.8098121001742, 4506.864490781464 ], "size": [ 270, 106 ], "flags": {}, "order": 164, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 43 } ], "outputs": [ { "name": "SIGMAS", "type": "SIGMAS", "links": [ 4246 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.17.0", "Node name for S&R": "BasicScheduler", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.1" } }, "widgets_values": [ "linear_quadratic", 8, 1 ] }, { "id": 80, "type": "GetNode", "pos": [ 585.0424606324722, 4081.3819527818528 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 35, "mode": 0, "inputs": [], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 57 ] } ], "title": "Get_positive_conditioning", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "positive_conditioning" ], "color": "#332922", "bgcolor": "#593930" }, { "id": 45, "type": "GetNode", "pos": [ 620.6781471750548, 4786.0959588913465 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 36, "mode": 0, "inputs": [], "outputs": [ { "name": "VAE", "type": "VAE", "links": [ 79 ] } ], "title": "Get_preview_vae", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "preview_vae" ], "color": "#322", "bgcolor": "#533" }, { "id": 74, "type": "GetNode", "pos": [ 852.1410615478377, 3385.048009011233 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 37, "mode": 0, "inputs": [], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 4242 ] } ], "title": "Get_auto_prompt", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "auto_prompt" ] }, { "id": 40, "type": "CLIPTextEncode", "pos": [ 1083.765963736979, 3399.8168804198895 ], "size": [ 361.90070664840914, 171.2509903557111 ], "flags": { "collapsed": true }, "order": 99, "mode": 0, "inputs": [ { "name": "clip", "type": "CLIP", "link": 24 }, { "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": 4242 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 23 ] } ], "title": "Automatic Prompt", "properties": { "cnr_id": "comfy-core", "ver": "0.3.56", "Node name for S&R": "CLIPTextEncode", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "ref_t2v: A person eating a bowl of pasta at a table in a cozy Italian restaurant, medium-wide shot. They twirl the noodles around a fork, take a bite, set the fork down briefly, and continue eating while looking around naturally. Warm ambient lighting, softly blurred diners in the background, relaxed everyday dining atmosphere.\n" ], "color": "#232", "bgcolor": "#353" }, { "id": 2229, "type": "GetNode", "pos": [ 2159.6059025031395, 2832.272828001026 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 38, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [] } ], "title": "Get_character_image", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "character_image" ], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 71, "type": "GetNode", "pos": [ 1408.5325633663404, 3090.2084507632153 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 39, "mode": 0, "inputs": [], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 45 ] } ], "title": "Get_manual_prompt", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "manual_prompt" ] }, { "id": 70, "type": "GetNode", "pos": [ 1603.7755045770175, 3052.408324084112 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 40, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 4271 ] } ], "title": "Get_character_image", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "character_image" ], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 72, "type": "StringConcatenate", "pos": [ 1639.666557086476, 3136.2144480911165 ], "size": [ 463.99158441610416, 471.4896015978152 ], "flags": { "collapsed": true }, "order": 100, "mode": 0, "inputs": [ { "name": "string_b", "type": "STRING", "widget": { "name": "string_b" }, "link": 45 } ], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 63 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "Node name for S&R": "StringConcatenate", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.1" } }, "widgets_values": [ "You will receive:\n\n1. A reference image of a person.\n2. An original `ref_t2v` video caption.\n\nYour task is to analyze the reference image and add the person’s visible facial, body, clothing, and accessory details to the original caption with minimal edits.\n\nREFERENCE IMAGE:\n[REFERENCE IMAGE PROVIDED TO THE MODEL]\n\nORIGINAL VIDEO CAPTION:", "", "" ] }, { "id": 86, "type": "StringConcatenate", "pos": [ 1638.711274817257, 3197.1103213571887 ], "size": [ 463.962445692365, 384.78039866683184 ], "flags": { "collapsed": true }, "order": 127, "mode": 0, "inputs": [ { "name": "string_a", "type": "STRING", "widget": { "name": "string_a" }, "link": 63 } ], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 4142, 4273 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "Node name for S&R": "StringConcatenate", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.1" } }, "widgets_values": [ "You will receive two inputs:\n\n1. A reference face image showing the person whose appearance must be preserved.\n2. An original `ref_t2v` video caption describing the scene, action, environment, camera framing, movement, lighting, mood, clothing, and props.\n\nYour task is to analyze the reference face image, extract the person’s visible appearance characteristics, and merge those characteristics naturally into the original video caption.\n\nREFERENCE FACE IMAGE:\n[REFERENCE IMAGE PROVIDED TO THE MODEL]\n\nORIGINAL VIDEO CAPTION:\n", "\nMANDATORY OUTPUT RULE:\n\nThe final response must begin exactly with:\n\nref_t2v:\n\nOutput exactly one line containing only the final caption. Do not add headings, explanations, quotation marks, Markdown, or code fences.\n\nSTRICT PRESERVATION RULE:\n\nTreat the original caption as locked text.\n\nYou may only:\n\n1. Expand the first subject phrase:\n - `A person`\n - `A man`\n - `A woman`\n\n2. Optionally replace later pronouns such as `They`, `He`, or `She` with a short appearance-based reference.\n\nDo not change, remove, reorder, paraphrase, or replace any other original words.\n\nPreserve exactly:\n\n- the subject category: `person`, `man`, or `woman`;\n- actions and action order;\n- environment;\n- clothing or costumes already present;\n- props and objects;\n- camera framing and movement;\n- lighting;\n- mood;\n- temporal progression;\n- principal nouns, verbs, and adjectives.\n\nNever replace original words with synonyms.\nNever add new actions, people, props, environments, or camera directions.\n\nIMAGE ANALYSIS:\n\nAnalyze the image in this order:\n\n1. Face and hair\n2. Body\n3. Clothing and accessories\n\nFACIAL DETAILS:\n\nWhen the face is visible, include at least 4 clearly visible facial or head-related details when possible:\n\n- age group;\n- skin tone;\n- hair color;\n- hair length;\n- hair texture;\n- hairstyle;\n- face shape;\n- eyebrows;\n- eye color, only if clear;\n- nose shape;\n- lip shape;\n- facial hair;\n- glasses;\n- distinctive visible facial features.\n\nBODY DETAILS:\n\nWhen the body is visible, describe the clearly visible body characteristics, such as:\n\n- build: slim, lean, average, broad, athletic, stocky;\n- relative height impression, only if visually clear;\n- shoulder width;\n- body silhouette;\n- posture;\n- stance;\n- visible proportions;\n- whether the body is upright, relaxed, rigid, leaning, or turned.\n\nDo not invent exact height, weight, measurements, or hidden body features.\n\nCLOTHING AND ACCESSORIES:\n\nWhen visible, describe the person’s clothing in detail, including:\n\n- upper garments;\n- lower garments;\n- outerwear;\n- dresses, robes, uniforms, armor, or costumes;\n- footwear;\n- gloves;\n- belts;\n- hats or headwear;\n- jewelry;\n- bags;\n- glasses;\n- capes or cloaks;\n- dominant colors;\n- visible patterns;\n- layers;\n- embroidery;\n- straps;\n- collars;\n- buttons;\n- zippers;\n- metallic details;\n- clearly visible materials such as leather, denim, metal, knit fabric, or silk-like fabric.\n\nClothing and body details are mandatory whenever they are clearly visible in the reference image.\n\nIf the original caption already specifies clothing or a costume, preserve those exact words and do not replace them. Add only compatible details from the reference image.\n\nDO NOT:\n\n- identify or name the person;\n- infer ethnicity, nationality, religion, occupation, personality, health, or background;\n- invent unclear details;\n- describe body parts or clothing that are outside the frame;\n- omit facial details because clothing is visually prominent;\n- omit clothing or body details when they are clearly visible.\n\nMERGING ORDER:\n\nThe first subject mention should follow this order:\n\n1. age group and skin tone;\n2. original subject noun;\n3. hair and facial details;\n4. body build and posture;\n5. clothing and accessories;\n6. original action.\n\nExample:\n\nOriginal:\n`ref_t2v: A person speaking with a reporter on a city sidewalk, medium-wide shot.`\n\nOutput:\n`ref_t2v: A tan-skinned adult person with short dark curly hair, an angular face, thick eyebrows, and a dark mustache, with a lean build and upright posture, wearing a green embroidered cloak, layered tunic, brown trousers, leather belt, and tall boots, speaking with a reporter on a city sidewalk, medium-wide shot.`\n\nIf the original says `A person`, keep `person`.\nIf it says `A man`, keep `man`.\nIf it says `A woman`, keep `woman`.\n\nFor later mentions, either keep the original pronoun or replace only the pronoun:\n\nOriginal:\n`They adjust the hat and continue walking.`\n\nAllowed:\n`The curly-haired person in the green cloak adjusts the hat and continues walking.`\n\nDo not change the remaining words.\n\nFINAL CHECK:\n\nBefore answering, verify that:\n\n- the output begins exactly with `ref_t2v:`;\n- facial details are included when the face is visible;\n- body details are included when the body is visible;\n- clothing and accessories are included when visible;\n- the original subject noun remains;\n- all original actions, clothing, props, framing, lighting, and mood remain unchanged;\n- no original word was unnecessarily replaced;\n- no new scene details were invented;\n- no explanation or extra text appears.\n\nOutput only the final merged caption.\n", "" ] }, { "id": 2230, "type": "PreviewAny", "pos": [ 1475.80396853821, 3320.90936632475 ], "size": [ 476.9774008363838, 174.00932202509148 ], "flags": { "collapsed": false }, "order": 143, "mode": 0, "inputs": [ { "name": "source", "type": "*", "link": 4273 } ], "outputs": [ { "name": "STRING", "type": "STRING", "links": [] } ], "title": "Prompt Template Preview", "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "Node name for S&R": "PreviewAny", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.1" } }, "widgets_values": [ null, null, null ] }, { "id": 73, "type": "SetNode", "pos": [ 3070.992735903425, 3252.18580050904 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 168, "mode": 0, "inputs": [ { "name": "STRING", "type": "STRING", "link": 93 } ], "outputs": [ { "name": "STRING", "type": "STRING", "links": null } ], "title": "Set_auto_prompt", "properties": { "Node 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"CONDITIONING", "links": [ 18, 54, 4294 ] } ], "properties": { "showOutputText": false, "horizontal": false, "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } } }, { "id": 61, "type": "Reroute", "pos": [ 1504.8202007861837, 4270.555240399908 ], "size": [ 75, 26 ], "flags": {}, "order": 155, "mode": 0, "inputs": [ { "name": "", "type": "*", "link": 4477 } ], "outputs": [ { "name": "", "type": "CONDITIONING", "links": [ 19, 55, 4295 ] } ], "properties": { "showOutputText": false, "horizontal": false, "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } } }, { "id": 2233, "type": "SetNode", "pos": [ 2015.6068387834098, 4639.386495859327 ], "size": [ 241.5123046875, 58 ], "flags": { "collapsed": true }, "order": 167, "mode": 0, "inputs": [ { "name": "*", "type": "*", "link": 4295 } ], "outputs": [ { "name": "*", "type": "*", "links": null } ], "title": "Set_negative_condition_1_pass", 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"flags": { "collapsed": true }, "order": 190, "mode": 0, "inputs": [ { "name": "IMAGE", "type": "IMAGE", "link": 49 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": null } ], "title": "Set_result", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "result", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "result" ], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 112, "type": "GetNode", "pos": [ 4723.8118765860445, 4241.7962487705645 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 42, "mode": 0, "inputs": [], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 127 ] } ], "title": "Get_auto_prompt", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "auto_prompt" ] }, { "id": 29, "type": "RecordAudio", "pos": [ -1962.1293400836867, 5050.564586428415 ], "size": [ 390, 112 ], "flags": {}, "order": 43, "mode": 4, "inputs": [], "outputs": [ { "name": "AUDIO", "type": "AUDIO", "links": null } ], "properties": { "cnr_id": "comfy-core", "ver": "0.16.3", "Node name for S&R": "RecordAudio", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "", "" ] }, { "id": 42, "type": "LoadAudio", "pos": [ -1988.3125904932858, 4668.424778502117 ], "size": [ 400, 140 ], "flags": {}, "order": 44, "mode": 0, "inputs": [], "outputs": [ { "name": "AUDIO", "type": "AUDIO", "links": [ 4063 ] } ], "title": "Load Custom Audio", "properties": { "cnr_id": "comfy-core", "ver": "0.16.3", "Node name for S&R": "LoadAudio", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "A Volta do Poeta Galo Cego - Daniel Orivaldo da Silva.mp3", null, null ], "color": "#432", "bgcolor": "#653" }, { "id": 2182, "type": "TrimAudioDuration", "pos": [ -1980.4698545591596, 4864.848064522896 ], "size": [ 270, 82 ], "flags": { "collapsed": false }, "order": 101, "mode": 0, "inputs": [ { "name": "audio", "type": "AUDIO", "link": 4063 } ], "outputs": [ { "name": "AUDIO", "type": "AUDIO", "links": [ 4064 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "Node name for S&R": "TrimAudioDuration", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.1" } }, "widgets_values": [ 18, 5 ] }, { "id": 28, "type": "SetNode", "pos": [ -1648.3242135245407, 4887.400204686378 ], "size": [ 210, 34 ], "flags": { 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"widgets_values": [ 8 ] }, { "id": 136, "type": "LTXVLatentUpsampler", "pos": [ 2875.016454301655, 4255.865183347569 ], "size": [ 326.6496552661738, 117.76643684411556 ], "flags": { "collapsed": true }, "order": 106, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 4314 }, { "name": "upscale_model", "type": "LATENT_UPSCALE_MODEL", "link": 168 }, { "name": "vae", "type": "VAE", "link": 169 } ], "outputs": [ { "name": "LATENT", "type": "LATENT", "links": [ 4484 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.14.1", "Node name for S&R": "LTXVLatentUpsampler", "ue_properties": { "widget_ue_connectable": {}, "version": "7.7", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [] }, { "id": 153, "type": "GetNode", "pos": [ 3463.513329295849, 4732.033457254483 ], "size": [ 210, 50 ], "flags": { "collapsed": true 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