工作流 /
视频 /
LTX-2.5 DFR：图生视频
LTX-2.5 DFR：图生视频
LTX-2.5 DFR: Image to Video
用 LTX-2.5 的 DFR（Diffusion Fidelity Rendering）路径，从一张图片生成带声音的短视频：先在半分辨率下生成并携带每秒一个细节关键帧，再做空间 ×2 细节重采样（pixel-spatial IC-LoRA），最后可选地做时间 ×2 上采样。适合镜头感画面、角色动作，以及需要口型与同步音频的「人像说话」片段。
视频
7 个节点 1 个输入 233 次使用 ComfyUI ≥ 0.37.2 ComfyUI 226 KB
需要的权重
这个工作流引用了 8 个权重文件，其中 5 个能在本站模型库里找到。
gemma4-12b-with-proj-ltx-2.5-bf16.safetensors
模型库暂未收录
gemma4_e2b_it_bf16.safetensors
在模型库查看
ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors
在模型库查看
ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors
模型库暂未收录
ltx-2.5-audio-vae-bf16.safetensors
在模型库查看
ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors
在模型库查看
ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors
模型库暂未收录
ltx-2.5-video-vae-bf16.safetensors
在模型库查看
节点构成
MarkdownNote
× 2
LoadImage
× 1
SaveVideo
× 1
97d5d35b-bb0d-4212-b2f2-97ab13cbfb1f
× 1
ResolutionSelector
× 1
PreviewImage
× 1
官方标注的模型
LTX-2.5
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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44 "image"
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48 "upload": "image"
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391 "order": 6,
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412 {
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430 "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Input Asset\n\n- [office_garden_169_outpaint.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/office_garden_169_outpaint.png)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/gemma-4](https://huggingface.co/Comfy-Org/gemma-4)\n- [ModelScope:Comfy-Org/gemma-4](https://modelscope.cn/models/Comfy-Org/gemma-4)\n- [Hugging Face:Lightricks/LTX-2.5](https://huggingface.co/Lightricks/LTX-2.5)\n- [Hugging Face:Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler](https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler)\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) (9.57 GB)\n- [gemma4-12b-with-proj-ltx-2.5-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-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- [ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors)\n\n**vae**\n\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- [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\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**loras**\n\n- [ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler/resolve/main/ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.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-bf16.safetensors\n│ ├── 📂 latent_upscale_models/\n│ │ ├── ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors\n│ │ └── ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors\n│ ├── 📂 vae/\n│ │ ├── ltx-2.5-audio-vae-bf16.safetensors\n│ │ └── ltx-2.5-video-vae-bf16.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors\n│ └── 📂 loras/\n│ └── ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.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"
431 ],
432 "widgets_values_named": {
433 "text": "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Input Asset\n\n- [office_garden_169_outpaint.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/office_garden_169_outpaint.png)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/gemma-4](https://huggingface.co/Comfy-Org/gemma-4)\n- [ModelScope:Comfy-Org/gemma-4](https://modelscope.cn/models/Comfy-Org/gemma-4)\n- [Hugging Face:Lightricks/LTX-2.5](https://huggingface.co/Lightricks/LTX-2.5)\n- [Hugging Face:Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler](https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler)\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) (9.57 GB)\n- [gemma4-12b-with-proj-ltx-2.5-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-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- [ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors)\n\n**vae**\n\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- [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\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**loras**\n\n- [ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler/resolve/main/ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.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-bf16.safetensors\n│ ├── 📂 latent_upscale_models/\n│ │ ├── ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors\n│ │ └── ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors\n│ ├── 📂 vae/\n│ │ ├── ltx-2.5-audio-vae-bf16.safetensors\n│ │ └── ltx-2.5-video-vae-bf16.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors\n│ └── 📂 loras/\n│ └── ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.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"
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457 "**DFR = Diffusion Fidelity Rendering** - LTX's production-quality path: a distilled transformer plus a\ndetailing IC-LoRA, with extra generated keyframes and spatial (optionally temporal) detailing passes.\n\n## What the subgraph `Image to Video (LTX-2.5 DFR)` can do\n\n- **Image to video** from one start frame, or **text to video** with the `Switch to T2V` toggle.\n- **Video with audio in a single pass** - ambience and speech; put spoken lines in quotes in the prompt.\n- **Detailing keyframes** - one per second of video, denoised together with the video and then reused as\n guides in the later passes; this is where the DFR quality comes from.\n- **Spatial x2 detailing** - the half-res stage-1 latent is re-injected as an IC-LoRA reference and re-sampled\n at double resolution with the pixel-spatial detailing IC-LoRA.\n- **Temporal x2** - 121 -> 241 frames, 24 -> 48 fps at the same duration (can be switched off).\n- **Controls** - aspect ratio and megapixel budget, fps, duration, seed, prompt, prompt enhancement, and\n tiled VAE decoding for low VRAM.\n\n## Inputs\n\n| Where | Control | Meaning |\n|---|---|---|\n| Top level | `Start image (I2V)` | first frame; ignored while `Switch to T2V` is on |\n| Top level | `Output size (aspect / megapixels)` | target aspect and pixel budget, multiples of 32; stage 1 runs at half of it |\n| Top level | `SeedNode` | seed; `fixed` keeps runs reproducible |\n| Inside | `Prompt (positive)` / `Prompt (negative)` | text conditioning; the negative prompt is used as written |\n| Inside | `Float (fps)` / `Float (Duration)` | 24 fps / 5 s by default, i.e. 121 frames |\n| Inside | `Switch to T2V` | run text-to-video without using the start image |\n| Inside | `Enable Prompt Enhancer` | rewrite and extend the prompt with the small gemma4 encoder first |\n| Inside | `Run 3rd stage - Temporal Upscale` | off skips the temporal pass: faster, 24 fps / 121 frames |\n| Inside | `Enable Tiled Decode` | tiled VAE decode - lower VRAM, slightly softer detail |\n\n## The three stages\n\n1. **Generate** - half resolution, **8 steps**; video, keyframe slots and audio are denoised together.\n2. **Spatial x2** - latent spatial upsample, then **3 steps** with the detailing IC-LoRA; the half-res latent\n serves as the reference (`LTXVAddLatentGuide`).\n3. **Temporal x2** - **4 steps** on a 241-frame / 48 fps canvas; the stage-2 keyframes return as guides at\n strength 0.95. Audio is used for cross-attention only and then dropped, so the shipped audio is still the\n stage-1 one. The step-by-step notes inside each stage group explain the mechanics.\n\nSamplers are **euler** with **cfg 1.0** and fixed **`ManualSigmas`** schedules. The model is distilled, so the\nstep counts and sigmas are part of the recipe - changing them changes the look.\n\n## Output\n\n`Save video (mp4 + audio)` writes the mp4 (48 fps with the temporal stage, 24 fps without) and\n`Preview frame` shows the final frame. Prompt-enhancer output, when enabled, is visible on\n`Preview as Text (Final Prompt)`.\n\n## Notes\n\n- Repeating high-frequency textures and smooth gradients can \"boil\" or band during camera moves. A/B runs at\n the same prompt and seed - tiled decode and temporal upscale toggled separately and together - came out at\n the same level in all four variants, so this belongs to the model and the pipeline rather than to a node\n setting. Widescreen framing and gentle camera moves are the most stable, and bf16 weights are cleaner than\n int8.\n\nModel links, folder layout and update/report links: see the note beside this one.\n"
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