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"input_ue_unconnectable": {} } }, "widgets_values": [ "## ⚙️ How It Works\n\nThese workflows rely on **[10S-Comfy-nodes](https://github.com/TenStrip/10S-Comfy-nodes)**\n\nMouse over parameters for info.\n\n\nFace Guider/Likeness Anchor are there to **reinforce likeness** they do not teach the model what the initial figure looks like but they curb it's attempts to overwrite finer facial details. Complex face altering movements like turning away, camera zoom outs, and transitions will destroy the initial reference regardless. The only way to inject a true character likeness is to train a small and quick character lora (5-30 minutes ~ 10-30 images) for Sulphur or base LTX2.3 and use that to alter the actual underlying weights with gradient data.\n\nGuided prompt conditioning from the guide is leveraged against the i2v conditioned latent with Latent anchor. Increasing strength on Latent anchor as well as **depth_curve** gives you a more manageable control over less/more movement and gives you 3 points of strength to control the i2v freedom. \n\nLatent Anchor node needs paper-level study in what it does, but for most calculations turn debug on and follow this formula to set it up correctly: \n*target_call_count = cache_at_step × forwards_per_step*\n\nIt is currently configured for 13 steps at step 6 cache with 1 CFG, although forwards per step must be increased to 3 to account for CFG,STG,audioCFG-but isn't impactful on just first 2 CFG steps.\n\nUpscale distortion is removed and detail is increased with tiled sampler, this is a default-level improvement to quality. At it's current setting it will only trigger when distortion inducing resolution is reached for vertical ratios, if working in landscape increase max_tile_size accordingly to bypass it. Audio-sync issues can arise if the **tile_carrying** mode does not target the tile with talking heads or sound-causing actors. Generally you will select first for vertical resolutions and middle for huge landscape passes.\nBecause of how tiled sampler works you will want to avoid hand motion and movement near the middle of the composition.\n\nFor Landscape formats **bypass tiling**, 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. Audio weight must be kept high for audio quality.\n\nIn some cases first pass audio may be more desirable, that can be toggled to be hard encoded instead of passed and resampled fully.\n\nThe first pass output is a full **motion** preview, if it contains mutation, distortion, bad motion, bad audio, etc... The upscale pass will 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 this foreword in **Grok** or an **uncensored LLM**:\n\n---\n\n*Generate a video scene script with a description based on the attached image for an LLM that has a tokenizer that uses interleaved attention to support long-context understanding that is fed into a multimodal video model. Strict specification, follow up to the word: No timestamps. No unnecessary embellishment. 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Dialogue should be concise and non-rambling as it will take away from video quality: **[ dialogue ]***\n\n*Inside that prompt describe only notable audio and audio cues, both normal and explicit; background noise as well as foley and natural sounds. In a temporal sequence paired with coinciding motions. In the case of absent dialogue or soundscapes and only if background music is fitting; describe a fitting genre and melodic tone with matching mood.*\n\n*Output only text following above instruction. 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"flags": {}, "order": 21, "mode": 0, "inputs": [], "outputs": [], "title": "Model Links", "properties": {}, "widgets_values": [ "## Model links\n\n**10Eros Models**\n\n- **BF16**: [10Eros_v1_bf16_model.safetensors](https://huggingface.co/vantagewithai/LTX2.3-10Eros-Split/resolve/main/model/10Eros_v1_bf16_model.safetensors?download=true)\n- **FP8**: [10Eros_v1_fp8_model.safetensors](https://huggingface.co/vantagewithai/LTX2.3-10Eros-Split/resolve/main/model/10Eros_v1_fp8_model.safetensors?download=true)\n- **GGUF**: [10Eros_v1-XX_X.gguf](https://huggingface.co/vantagewithai/LTX2.3-10Eros-GGUF/tree/main)\n\n**text_encoders**\n\n- [gemma_3_12B_it.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it.safetensors)\n- [ltx-2-3-22b-text_encoder.safetensors](https://huggingface.co/vantagewithai/LTX-2.3-Split/resolve/main/text_encoder/ltx-2-3-22b-text_encoder.safetensors?download=true)\n\n**vae**\n\n- [ltx-2-3-22b-VAE.safetensors](https://huggingface.co/vantagewithai/LTX-2.3-Split/resolve/main/vae/ltx-2-3-22b-VAE.safetensors?download=true)\n- [ltx-2-3-22b-audio_vae.safetensors](https://huggingface.co/vantagewithai/LTX-2.3-Split/resolve/main/audio_vae/ltx-2-3-22b-audio_vae.safetensors?download=true)\n- [taeltx2_3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/taeltx2_3.safetensors)\n\n**loras**\n\n- [ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors](https://huggingface.co/vantagewithai/Sulphur-2-Base-Split/resolve/main/lora/ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors?download=true)\n- [OmniNFT_converted_lora.safetensors](https://huggingface.co/VasiliyWeb/OmniNFT_ComfyUI/resolve/main/OmniNFT_converted_lora.safetensors?download=true)\n\n**latent_upscale_models**\n\n- [ltx-2.3-spatial-upscaler-x2-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors?download=true)\n\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── 10Eros_v1_bf16_model.safetensors\n│ ├── 📂 unet/\n│ │ ├── 10Eros_v1-XX_X.gguf\n│ ├── 📂 text_encoders/\n│ │ ├── gemma_3_12B_it.safetensors\n│ │ └── ltx-2-3-22b-text_encoder.safetensors\n│ ├── 📂 vae/\n│ │ ├── ltx-2-3-22b-VAE.safetensors\n│ │ └── ltx-2-3-22b-audio_vae.safetensors\n│ │ └── taeltx2_3.safetensors\n│ ├── 📂 loras/\n│ │ ├── OmniNFT_converted_lora.safetensors\n│ │ └── ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors\n\n│ └── 📂 latent_upscale_models/\n│ └── ltx-2.3-spatial-upscaler-x2-1.1.safetensors\n```\n" ], "color": "#222", "bgcolor": "#000" }, { "id": 860, "type": "CLIPTextEncode", "pos": [ -2404.2650860561785, 2998.130928111346 ], "size": [ 449.2138481807983, 360.9046937324283 ], "flags": { "collapsed": 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