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635141064074927, "", "", "" ], "color": "#222", "bgcolor": "#000" }, { "id": 795, "type": "MarkdownNote", "pos": [ -2021.1608937808342, 3197.3792734479475 ], "size": [ 537.7989302708413, 1217.9421902792174 ], "flags": {}, "order": 28, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "# 10S Workflows - Basic I2V v5\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 β‰  good.\n\n---\n\n## πŸ“¦ 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| πŸ”§ 10S Comfy Nodes | [TenStrip/10S-Comfy-nodes](https://github.com/TenStrip/10S-Comfy-nodes) |\n| βš—οΈ DMD LoRA | [DMD Deltas Reshaped](https://huggingface.co/TenStrip/LTX2.3_DMD_Lora/tree/main) |\n| πŸŒ€ Echo LoRA | [JoyAI Echo Extract](https://huggingface.co/TenStrip/LTX2.3_JoyAI_Lora_Extracted/tree/main) |\n---\n\n## βš™οΈ How It Works\n\nThese workflows rely on **[10S-Comfy-nodes]**\n\nMouse over parameters for info.\n\n\nFor Landscape ratios and formats **bypass tiling** on Tiled Sampler or increase to 3 tiles for smaller fine motion detail, but it is not necessary to correct that ratio.\n\nDistillation is handled at full break down. Lower pass video distillation will increase motion. Upscale pass video distillation will add detail, but also add artifacts and unaesthetic blur artifacts if too high. \n\nThe first pass output is a full **motion** preview, if it contains mutation, distortion, bad motion, etc... The upscale pass will probably not fix it. Only allow it to run to upscale when first pass motion looks good. **Visual quality and style will be restored** at upscale.\n\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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