workflows/Best-FaceID_v1.0_Workflow.json

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        "# 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"
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        "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",
        "\nSTRICT EDITING RULE:\n\nTreat the original video caption as locked text.\n\nYou are allowed to make only these edits:\n\n1. Expand the first subject phrase:\n   - Replace only `A person`, `A man`, or `A woman` with the same original subject noun plus visible appearance details.\n   - The original subject noun must remain present.\n   - Insert the appearance details immediately around the original subject noun.\n   - Do not delete or replace any words that appear after the original subject phrase.\n\n2. Optionally replace later subject pronouns:\n   - `They`, `He`, or `She` may be replaced with a short appearance-based reference.\n   - Preserve every verb, object, action, and remaining word from the original sentence.\n   - Do not alter the order of the words or actions.\n\nEverything else in the original caption is immutable.\n\nYou must preserve verbatim:\n\n- clothing and costumes;\n- actions;\n- action order;\n- environments;\n- objects and props;\n- camera framing;\n- camera movement;\n- lighting;\n- mood;\n- adjectives;\n- temporal transitions;\n- all principal nouns and verbs.\n\nCRITICAL PRESERVATION RULES:\n\n- Never remove clothing or costume descriptions.\n- Never remove phrases between the original subject and the main action.\n- Never replace original words with synonyms.\n- Never summarize or simplify the caption.\n- Never improve or creatively rewrite the caption.\n- Never add new actions, clothing, props, people, or environments.\n- Never mention or infer the person’s identity or name.\n- Never repeat labels such as `REFERENCE FACE IMAGE` or `ORIGINAL VIDEO CAPTION`.\n- Never write introductory text such as:\n  - `Okay`\n  - `I understand`\n  - `Let's proceed`\n  - `Here is the merged caption`\n  - `The result is`\n\nFACE IMAGE ANALYSIS:\n\nExtract only clearly visible, non-sensitive appearance details, such as:\n\n- apparent age group;\n- skin tone;\n- hair color;\n- hair length;\n- hair texture;\n- hairstyle;\n- face shape;\n- visible facial hair;\n- glasses;\n- clearly visible eye color;\n- other distinctive visible facial features.\n\nDo not:\n\n- identify the person;\n- repeat a name supplied in image metadata or surrounding text;\n- infer ethnicity, nationality, occupation, personality, religion, health, or background;\n- invent unclear characteristics;\n- infer clothing from the face image.\n\nMINIMUM-EDIT PROCEDURE:\n\nStep 1:\nCopy the original caption exactly.\n\nStep 2:\nLocate only the first subject phrase:\n- `A person`\n- `A man`\n- `A woman`\n\nStep 3:\nExpand that phrase with the extracted appearance while preserving the original subject noun.\n\nExample:\n\nOriginal:\n`A person dressed in a pirate costume walking along a harbor promenade`\n\nAllowed:\n`A fair-skinned adult person with short, neatly combed blond hair dressed in a pirate costume walking along a harbor promenade`\n\nForbidden:\n`A fair-skinned adult man with short blond hair walking along a harbor promenade`\n\nThe forbidden version removes:\n`dressed in a pirate costume`\n\nStep 4:\nFor later pronouns, either preserve the original pronoun or replace only the pronoun with a concise appearance-based subject reference.\n\nExample:\n\nOriginal:\n`They adjust the hat, hold a prop telescope, and continue strolling near the water.`\n\nAllowed:\n`The short-haired person adjusts the hat, holds a prop telescope, and continues strolling near the water.`\n\nDo not modify:\n`adjusts the hat, holds a prop telescope, and continues strolling near the water.`\n\nFINAL VALIDATION:\n\nBefore answering, silently compare the output with the original caption and verify:\n\n- every original costume and clothing phrase remains;\n- every original action remains;\n- every original prop remains;\n- every original environment remains;\n- every original framing term remains;\n- every original lighting and mood phrase remains;\n- the action order is unchanged;\n- no original principal word was removed;\n- no synonym replaced an original word;\n- only subject appearance information was added;\n- no introductory or explanatory text appears.\n\nOUTPUT REQUIREMENT:\n\nOutput exactly one line containing only the final `ref_t2v` caption.\n\nDo not output analysis, headings, labels, explanations, acknowledgements, or quotation marks.\n\nThe line must begin with exactly:\n\nref_t2v:",
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