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The cybernetic figure slowly turns his head to the right, his glowing blue eyes scanning the horizon, mechanical joints in his neck whirring faintly. The camera follows his gaze, panning across the rooftop to reveal the city beyond: a river of light winding between dark towers, a flying vehicle gliding past between the buildings, its lights streaking. He watches it pass, then his eyes narrow slightly. The camera settles on his profile against the city glow, distant hover traffic humming, wind gusting across the rooftop. 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No text, no black frames.", "value_1": true, "value_2": 5, "value_3": 1280, "value_4": 720, "value_5": 24 } }, { "bgcolor": "#000", "color": "#222", "flags": {}, "id": 399, "inputs": [], "mode": 0, "order": 1, "outputs": [], "pos": [ 530, 6390 ], "properties": {}, "size": [ 780, 1280 ], "title": "Note: About LTX-2.5", "type": "MarkdownNote", "widgets_values": [ "# LTX-2.5\n\nLTX-2.5 is Lightricks' open video generation model : fast, local-first, and built for production. Run it locally, fine-tune it for your own use case, or integrate it into your pipeline.\n\n**Key highlights:**\n\n- **Pixel Diffusion** : keyframes-first generation that builds every scene on a grid of high-fidelity keyframes for industry-leading pixel quality\n- **Diffusion Video Decoder** : sharper faces, legible text, fewer smears in fast motion\n- **Native multishot** : one generation yields multiple connected shots holding character, environment, lighting, voice, and style across cuts\n- **Custom Gemma 4 12B text encoder** : retains multiple subjects, actions, lighting, detail, and camera direction across complex prompts\n- **Dedicated Prompt Enhancer** : a lightweight model that expands short prompts into rich cinematic instructions at near-zero extra compute\n- **Auto Duration** : predicts the right clip length from the described action before diffusion begins\n- **Better distilled model** : carries far more quality, prompt adherence, and motion into a smaller, faster variant\n- Carried over from LTX-2.3: native 4K, synchronized audio-video\n\nOfficial model & files: https://huggingface.co/Lightricks/LTX-2.5\n## What this workflow does\n\nThis **Image-to-Video** workflow animates a first frame into a video. Load a starting image, describe the motion in the prompt, and the model continues the scene while holding character, lighting, and style : with synchronized audio.\n\n## Subgraph parameters\n\nThe **Image to Video (LTX-2.5)** node is a subgraph. Click the **Enter subgraph** button at the bottom of the node to open its internal graph, where you can inspect and fine-tune every step of the pipeline (conditioning, sampler, CFG guider, VAE decode, and more).\n\n| Parameter | What it does |\n|---|---|\n| first_frame | Starting image that the video continues from (load your own image in **Load First Frame**) |\n| prompt | Text prompt describing the motion, scene, lighting, camera, and style |\n| prompt_enhance | Toggle the built-in Prompt Enhancer: expands short prompts into rich cinematic instructions at near-zero extra compute |\n| duration | Clip length in seconds (Auto Duration can predict it from the action) |\n| width / height | Output resolution in pixels (e.g. 1280×720) |\n| seed | Random seed : set a fixed value to reproduce the same result |\n| frame_rate | Frames per second |\n| unet_name | Main model: LTX-2.5 distilled transformer (ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors) |\n| video_vae | Video VAE used for decoding (ltx-2.5-video-vae-bf16.safetensors) |\n| audio_vae | Audio VAE that produces synchronized audio (ltx-2.5-audio-vae-bf16.safetensors) |\n| clip_name | Text encoder: custom Gemma 4 12B with projection (gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors) |\n| upscale_model | Latent upscaler applied before decoding for higher-fidelity output |\n| prompt_enhance_model | Model checkpoint used by the Prompt Enhancer |\n\n## How to use\n\n1. Download the models listed in **Note: Model Links** and place them in ComfyUI's `models/` folder\n2. Replace the image in **Load First Frame** with your own starting frame\n3. Write a prompt describing the motion, optionally toggle **prompt_enhance** for short prompts\n4. Set **duration** / **width** / **height** / **frame_rate** (defaults work well) and hit **Queue**\n5. To dive deeper, click **Enter subgraph** at the bottom of the main node : every internal step (conditioning, sampler, CFG, VAE decode) can be edited there\n" ], "widgets_values_named": { "text": "# LTX-2.5\n\nLTX-2.5 is Lightricks' open video generation model : fast, local-first, and built for production. Run it locally, fine-tune it for your own use case, or integrate it into your pipeline.\n\n**Key highlights:**\n\n- **Pixel Diffusion** : keyframes-first generation that builds every scene on a grid of high-fidelity keyframes for industry-leading pixel quality\n- **Diffusion Video Decoder** : sharper faces, legible text, fewer smears in fast motion\n- **Native multishot** : one generation yields multiple connected shots holding character, environment, lighting, voice, and style across cuts\n- **Custom Gemma 4 12B text encoder** : retains multiple subjects, actions, lighting, detail, and camera direction across complex prompts\n- **Dedicated Prompt Enhancer** : a lightweight model that expands short prompts into rich cinematic instructions at near-zero extra compute\n- **Auto Duration** : predicts the right clip length from the described action before diffusion begins\n- **Better distilled model** : carries far more quality, prompt adherence, and motion into a smaller, faster variant\n- Carried over from LTX-2.3: native 4K, synchronized audio-video\n\nOfficial model & files: https://huggingface.co/Lightricks/LTX-2.5\n## What this workflow does\n\nThis **Image-to-Video** workflow animates a first frame into a video. Load a starting image, describe the motion in the prompt, and the model continues the scene while holding character, lighting, and style : with synchronized audio.\n\n## Subgraph parameters\n\nThe **Image to Video (LTX-2.5)** node is a subgraph. Click the **Enter subgraph** button at the bottom of the node to open its internal graph, where you can inspect and fine-tune every step of the pipeline (conditioning, sampler, CFG guider, VAE decode, and more).\n\n| Parameter | What it does |\n|---|---|\n| first_frame | Starting image that the video continues from (load your own image in **Load First Frame**) |\n| prompt | Text prompt describing the motion, scene, lighting, camera, and style |\n| prompt_enhance | Toggle the built-in Prompt Enhancer: expands short prompts into rich cinematic instructions at near-zero extra compute |\n| duration | Clip length in seconds (Auto Duration can predict it from the action) |\n| width / height | Output resolution in pixels (e.g. 1280×720) |\n| seed | Random seed : set a fixed value to reproduce the same result |\n| frame_rate | Frames per second |\n| unet_name | Main model: LTX-2.5 distilled transformer (ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors) |\n| video_vae | Video VAE used for decoding (ltx-2.5-video-vae-bf16.safetensors) |\n| audio_vae | Audio VAE that produces synchronized audio (ltx-2.5-audio-vae-bf16.safetensors) |\n| clip_name | Text encoder: custom Gemma 4 12B with projection (gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors) |\n| upscale_model | Latent upscaler applied before decoding for higher-fidelity output |\n| prompt_enhance_model | Model checkpoint used by the Prompt Enhancer |\n\n## How to use\n\n1. Download the models listed in **Note: Model Links** and place them in ComfyUI's `models/` folder\n2. Replace the image in **Load First Frame** with your own starting frame\n3. Write a prompt describing the motion, optionally toggle **prompt_enhance** for short prompts\n4. Set **duration** / **width** / **height** / **frame_rate** (defaults work well) and hit **Queue**\n5. To dive deeper, click **Enter subgraph** at the bottom of the main node : every internal step (conditioning, sampler, CFG, VAE decode) can be edited there\n" } }, { "bgcolor": "#000", "color": "#222", "flags": {}, "id": 401, "inputs": [], "mode": 0, "order": 2, "outputs": [], "pos": [ -60, 6390 ], "properties": {}, "size": [ 550, 880 ], "title": "Note: Model Links", "type": "MarkdownNote", "widgets_values": [ "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n**Input Asset** \n\n- [neon_cyborg_portrait.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/neon_cyborg_portrait.png) — required workflow input (`input/neon_cyborg_portrait.png`)\n\n**text_encoders**\n\n- [gemma4_e2b_it_bf16.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e2b_it_bf16.safetensors)\n- [gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors)\n\n**diffusion_models**\n\n- [ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/diffusion_models/ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors)\n\n**vae**\n\n- [ltx-2.5-video-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-video-vae-bf16.safetensors)\n- [ltx-2.5-audio-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-audio-vae-bf16.safetensors)\n\n**latent_upscale_models**\n\n- [ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ ├── gemma4_e2b_it_bf16.safetensors\n│ │ └── gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors\n│ ├── 📂 vae/\n│ │ ├── ltx-2.5-video-vae-bf16.safetensors\n│ │ └── ltx-2.5-audio-vae-bf16.safetensors\n│ └── 📂 latent_upscale_models/\n│ └── ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" ], "widgets_values_named": { "text": "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n**Input Asset** \n\n- [neon_cyborg_portrait.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/neon_cyborg_portrait.png) — required workflow input (`input/neon_cyborg_portrait.png`)\n\n**text_encoders**\n\n- [gemma4_e2b_it_bf16.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e2b_it_bf16.safetensors)\n- [gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors)\n\n**diffusion_models**\n\n- [ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/diffusion_models/ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors)\n\n**vae**\n\n- [ltx-2.5-video-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-video-vae-bf16.safetensors)\n- [ltx-2.5-audio-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-audio-vae-bf16.safetensors)\n\n**latent_upscale_models**\n\n- [ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ ├── gemma4_e2b_it_bf16.safetensors\n│ │ └── gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors\n│ ├── 📂 vae/\n│ │ ├── ltx-2.5-video-vae-bf16.safetensors\n│ │ └── ltx-2.5-audio-vae-bf16.safetensors\n│ └── 📂 latent_upscale_models/\n│ └── ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" } }, { "bgcolor": "#000", "color": "#222", "flags": {}, "id": 402, "inputs": [], "mode": 0, "order": 3, "outputs": [], "pos": [ 1540, 7460 ], "properties": {}, "size": [ 300, 520 ], "title": "Note: Size Settings Reference", "type": "MarkdownNote", "widgets_values": [ "| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 |\n| 1.0 | 16:9 | 1376 x 768 |\n| 1.2 | 16:9 | 1504 x 832 |\n| 1.5 | 16:9 | 1664 x 928 |\n| 1.8 | 16:9 | 1824 x 1024 |\n| 2.0 | 16:9 | 1920 x 1088 |\n" ], "widgets_values_named": { "text": "| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 |\n| 1.0 | 16:9 | 1376 x 768 |\n| 1.2 | 16:9 | 1504 x 832 |\n| 1.5 | 16:9 | 1664 x 928 |\n| 1.8 | 16:9 | 1824 x 1024 |\n| 2.0 | 16:9 | 1920 x 1088 |\n" } }, { "flags": {}, "id": 403, "inputs": [ { "link": null, "localized_name": "aspect_ratio", "name": "aspect_ratio", "type": "COMBO", "widget": { "name": "aspect_ratio" } }, { "link": null, "localized_name": "megapixels", "name": "megapixels", "type": "FLOAT", "widget": { "name": "megapixels" } }, { "link": null, "localized_name": "multiple", "name": "multiple", "type": "INT", "widget": { "name": "multiple" } } ], "mode": 0, "order": 4, "outputs": [ { "links": [ 783 ], "localized_name": "width", "name": "width", "type": "INT" }, { "links": [ 784 ], "localized_name": "height", "name": "height", "type": "INT" } ], "pos": [ 1550, 7210 ], "properties": { "Node name for S&R": "ResolutionSelector", "cnr_id": "comfy-core", "ver": "0.30.0" }, "showAdvanced": false, "size": [ 270, 170 ], "type": "ResolutionSelector", "widgets_values": [ "16:9 (Widescreen)", 0.9, 32 ], "widgets_values_named": { "aspect_ratio": "16:9 (Widescreen)", "megapixels": 0.9, "multiple": 32 } } ], "revision": 0, "version": 0.4 }