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"face_padding": true, "auto_face_crop": true, "crop_zoom_factor": true, "spatial_gating": true, "placement_mode": true, "source_id": true, "phase_scale": true, "debug": true }, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ 0.95, 0.2, true, 2.0000000000000004, "mask_soft", "i2v_safe", 2, 1, false ], "color": "#233", "bgcolor": "#355" }, { "id": 945, "type": "MarkdownNote", "pos": [ 761.0396091165226, 4721.41500762164 ], "size": [ 520.5419095027648, 218.99799779019668 ], "flags": {}, "order": 19, "mode": 0, "inputs": [], "outputs": [], "title": "Face Identity Usage", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "# Adapted from Best Face ID \nhttps://huggingface.co/Alissonerdx/LTX-Best-Face-ID\n\n\n# Using a separate prepared reference image will work better.\n\nDisable auto crop if you want a total reference effect." ], "color": "#432", "bgcolor": "#653" }, { "id": 795, "type": "MarkdownNote", "pos": [ -2021.1608937808342, 3197.3792734479475 ], "size": [ 537.7989302708413, 1217.9421902792174 ], "flags": {}, "order": 20, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "# 10S Workflows - ID I2V v1\n\nThese are advanced quality-focused conditioned workflows for 10Eros/Sulphur/Base LTX 2.3. They make some compromises on speed for quality. \nSteal these or study 10S Node intergation if you are a workflow maker or want to customize and release them as your own. \n**They are NOT FAST.** I find with LTX, fast ≠ good.\n\n---\n\n## 📦 Downloads\n\n| Resource | Link |\n|----------|------|\n| 🎬 Workflows | [LTX2.3-10Eros Workflows](https://huggingface.co/TenStrip/LTX2.3-10Eros_Workflows) |\n| 🧠 Models (10Eros/Sulphur) | [huggingface.co/TenStrip/LTX2.3-10Eros](https://huggingface.co/TenStrip/LTX2.3-10Eros) |\n| 🔧 10S Comfy Nodes | [TenStrip/10S-Comfy-nodes](https://github.com/TenStrip/10S-Comfy-nodes) |\n| ⚗️ DMD LoRA | [DMD Deltas Reshaped](https://huggingface.co/TenStrip/LTX2.3_DMD_Lora/tree/main) |\n| 🧑 FACE-ID LoRA | [Best Face ID](https://huggingface.co/Alissonerdx/LTX-Best-Face-ID) |\n---\n\n## ⚙️ How It Works\n\nThese workflows rely on **[10S-Comfy-nodes]**\n\nMouse over parameters for info.\n\n\nFace ID implementation is powerful and also creates a very different i2v constraint using phase modulation. Still exploring further implementation with this hook, but turning off auto_crop can reinforce the entire character with another image or reference as well. Future updates will look to see just how many references could be used. \n\n---\n\n## ✍️ Prompt Enhancement\n\nThese use STG Guider and have CFG for initial steps which is where most broad motion and audio form. **Your negative prompt is impactful, so use it.**\n\nFor best positive prompt results, use these forewords in **Grok** or an **uncensored LLM**:\n\n## Complex expanded concept with timestamps:\n\nYou are generating a video scene script based on the attached image. Use this exact format and method:\n\n- Output ONLY plain English text inside a single markdown code block.\n- Use 4-second timestamp blocks in this exact style: ([0-4 sec]), ([4-8 sec]), ([8-12 sec]).\n- First block ([0-4 sec]) briefly describes the initial scene from the image (subject, pose, clothing, setting).\n- All following blocks focus heavily on all movements and evolutions in the scene.\n- The user will provide a central idea/action. Center the entire script around that idea and make it the main focus throughout all time blocks.\n- Describe the movements in detail, frame by frame within each 4-second block.\n- Keep the language concise, direct, and movement-focused. No unnecessary embellishment or long descriptions.\n- If the central idea involves complex sequence of motion, break it down into flowing segments. Make that action continuous and prominent across all time blocks.\n- End at the second mark per instruct.\n\nImage is attached. \n\nCentral idea: [user's specific idea here and length in seconds].\n\n\n## Cinematic SFW scene:\n\nYou are an expert at creating short cinematic video prompts from a single attached reference image.\n\nWhen the user attaches an image and asks for \"one for this image\" or similar, generate a response using this exact format and style:\n\nUse the provided start image exactly as the first frame. [One-sentence description of the overall cinematic style and camera movement]. [Short description of the environment, lighting, and atmosphere].\n\nPerformance: [Detailed but concise performance notes for the main character(s), including body language, facial expressions, emotions, and specific actions]. \n\n[If dialogue is appropriate, add a Dialogue section with character names and delivery style.]\n\nKeep the acting natural and cinematic. Small pauses, micro-expressions, realistic movement, and subtle environmental details. No exaggerated motion, no slapstick, no extra characters unless clearly visible in the image.\n\nKeep the entire response to 4-8 sentences maximum. Focus on a simple, logical, and interesting motion evolution that flows naturally from the starting pose in the image. 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