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"๐๏ธ The last frame of you final result.\n\nThis will always select the last run method, even if you selected multiple options! (Interpolation node > FLF2V node > i2v only)\n\nThe image will be saved on the same folder as your video.\nYou can start with this again to expand your video.\n"
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Here you set your initial image (frame) of your video."
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Here you set your last frame of your video."
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"๐ฆ Here will be your final video result."
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"type": "IMAGE",
"links": [
4419
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{
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{
"label": "LTX23 Prompt Negative",
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๐ซSettings",
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"Most settings can be mixed, **but not all** combinations are possible due to engine limitations. If an error occurs try disable some settings first.\n- ๐ซ Interpolation can not be added to V2V\n"
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4418
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"| Setting | Default / Example | Description |\n|--------:|------------------:|------------:|\n| Seconds | 5 | Set the desired length of the video in seconds. |\n| CRF | 20, webm, VP9 | Video compression level. Visually lossless. Set on VHS Node.|\n| FPS | 16 | Frames per second for videos. Use 24 for faster motion/shorter videos. |\n| Shift | 5 | Adjust and test; WAN 2.2 valid in range 5โ10. |\n| Steps total | 4 | Total steps - node handles step math. More steps โ higher quality but longer generation. Use even numbers. |\n| Step Refiner | 2 | Default 2 (50% of 4). Change to test different swap behavior. |\n| CFG | 1.0 | Controls prompt adherence. Use 1-1.5. 1 disables/ignores the negative prompt. 1.0 is needed for speed-up's like 4/8-step models/LoRAs |\n| Sampler | euler | \"Euler\" works every time. Other samplers can enhance detail or motion. This has major impact on how the video is generated. |\n| Scheduler | simple | \"Simple\" works every time. Others like \"beta\" and others can enhance some samplers. |\n| Seed | number + randomize | Random outcome every run. Set a specific seed to reproduce the same outcome. |\n| Sage Attention | disabled | Can be enabled **if installed correctly** to speed-up video generation times. |\n| Watermark upload | none | Here you can upload a watermark image and calibrate the settings to your liking (subgraph). |\n| Soundmark upload | none | Here you can upload a soundmark image and calibrate the settings to your liking (subgraph). |\n| Positive prompt | none | Write your positive prompt!
1) Brief description of the setting/appearance
2) Actions, motions, story
3) Camera composition
CFG 1 normally disables/ignores the negative prompt! NAG effectively enables negative prompting on CFG 1.|\n| Negative prompt | none | Write what you would like to exclude. Works only if CFG > 1 or NAG is enabled |\n| Checkpoints | Safetensors/GGUf |Choose the type of Checkpoint to use. Wan 2.2 uses a different diffusion model for the first steps (high noise) vs the last steps (low noise). You can ether use safetensors or gguf.|\n| VAE | same as WAN 2.1 | Still using the same VAE as WAN 2.1. |\n| CLIP | standard encoder | Use your preferred standard CLIP text encoder. No CLIP Vision H โ not trained/implemented in WAN 2.2 and weights are disabled. |\n| Upscaler model | any | The optional used model for Upscaling /w model. A downloaded upscaling-model is needed. |\n| upload file | none | Upload buttons for any needed extra file like watermark, soundmark and example audio. |"
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"### ๐ READ ME\nThe workflow can combine various features and engines to produce a desired output, but not all combinations can technically work.
\nโ ๏ธ If a setting combination gives you errors, try to set other switches.
\n\n## Initial setup\n0. Download and place needed models and files\n1. Select an **engine** you want to use, only 1๏ธโฃ engine should be active at any time\n\n### Usage i2v / flf2v + Audio features\n1. Enable the type with the type switch - i2v or flf2v\n - (optional) Enable fitting **Rendering features**\n - (optional) Add LoRAs \n - (optional) Enable **Audio feature**\n - (optional) Enable any or multiple **Post-processing features**\n2. Choose a resolution for your output\n3. Check/Tune any parameter to your liking under **SETTINGS** on the **Backend** panel\n - Check and set the checkpoints you want to use inside the frontpanel or backends\n - You need only the checkpoints/models you enabled\n4. Add first-frame and/or last-frame image\n5. Write your prompts\n6. Generate\n\n### Features\nFor detailed feature description read the feature notes\n\n## Usage combine videos\nThis will just combine and post-process videos.\n1. Select **Video Combining** on engine switch\n(this will disable the rendering section inside the backend)\n2. Add up to 3 videos on the settings panel\n - (optional) Enable post-processing features, e.g. upscaling, marks,...)\n\n## Shortcuts / Bookmarks\n\n| Numberkey | Description/Target |\n|----------:|-------------------:|\n|0 | Notes |\n|1 | Frontend with settings and inputs |\n|2 | Backend - main |\n|3 | Backend - post-processing |\n|4 | Backend - audio |"
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"# ๐ Resolution Guide\n\n### 1. Define your \"Size\" (Method)\nChoose between:\n* **Precision Presets:** Optimized Megapixel tiers. **0.52 MP (SD)** is the baseline for most video models.\n* **Resolution Presets:** Standard targets (e.g., **1080p**). The node adjusts the actual dimensions to fit your custom aspect ratio while keeping the \"1080p density.\"\n\n### 2. Define your \"Shape\" (Aspect Ratio)\n* **Scale From Image (YES):** The node \"peeks\" at the first frame of your input. It calculates the aspect ratio and applies your chosen MP budget to that specific shape.\n* **Scale From Image (NO):** Uses the **Aspect Preset** (e.g., 9:16) or **Manual Aspect** sliders suitable for T2V. \n * *Note: Manual sliders define the ratio (e.g., 21 x 9), not the final pixels.*\n\n### 3. The \"Bypass\" (No Scale)\n* **Toggle ON:** Disables all calculations. The node outputs the exact width/height of the source image/manual input. Use this for native-resolution upscaling or final renders."
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"| Feature | Default / Example | Description |\n|--------:|------------------:|------------:|\n| Color match | off | This will try to match the color from the initial image to the samples. The color match algorithms default is set by default to '0.75'. Feel free to test other strength. |\n| Perfect loop | off | This can be used with FLF2V or I2V. It will try to find the seamless frame to loop back to the start and blending frames together. ๐ก Best used with \"color match\". Try using more frames, e.g. higher seconds. Sometimes FLV2V will morph. |\n| Interpolation | off | This will interpolate your video to double fps at the end. Interpolated FPS = 2 ร FPS. |\n| Upscale 2x (fast) | off | Final resolution = 2 ร start resolution while maintaining aspect ratio. No morph; color-correct fast lanczos upscale. Low VRAM consumption. |\n| Upscale /w Model (slow) | off | Final resolution depends on the used upscaler model; Can change/enhance details and high VRAM consumption. |\n| RTX Super Resolution | off | 4x ultra fast accurate upscaling. RTX cards only. |\n| Watermark | off | Enable for a watermark overlay on video. |\n| Soundmark | off | Enable for a soundmark overlay on video. |\n| Extract Last Frame | off | Enable to extract the last frame of the video as image. |\n| MiniMeme | off | This will create a mini gif from your video down scaled by 5 for meme's or discord. |"
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"# ๐ฌ Generation Modalities\n| Setting | Description |\n|--------:|------------:|\n|๐ผ๏ธโก๏ธ๐ฅ
ImageToVideo | Animate static reference images using text prompts or optional audio input.|\n|๐ผ๏ธ๐ผ๏ธโก๏ธ๐ฅ
First-Last-FrameToVideo | Animate static reference first images using text prompts or optional audio input with an last image as ending. |\n|๐ฅโก๏ธ๐ฅ
VideoToVideo | Generates fully synchronized audio tracks, including immersive ambience and speech with precise lip synchronization, driven by video visuals alongside text prompts or optional audio input.|\n\n## Audio Input Settings\n| Setting | Description |\n|--------:|------------:|\n|๐ข Model Audio | No external audio file used. The AI generates completely new audio based on your text prompt.|\n|๐ Audio Input | Upload an existing voice or music file to drive the animation (e.g., for lip-sync).|\n---\n## ๐ VRAM optimization, long videos, spacial options\n- โ๏ธ Chunking settings for longer videos, chunks will be automatically calculated based on frame-count/length.\n- ๐๏ธ When \"2x FPS\" is active, the latent upscaling process takes ~2.5x longer.\n- ๐๏ธ \"2x Resolution\" will latent upscale the video to its double latent resolution.\n\n๐ก The input image or video only determines the aspect ratio of the output. The final resolution is scaled up or down to the selected megapixel value in the Resize Image node, which can be switched to scale by multiplier (1ร) to keep the original resolution.\n"
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"| Setting | Default / Example | Description |\n|--------:|------------------:|------------:|\n| SageAttention | off | Needs to be installed! Possibly accelerates generation. |\n| FP16 accumulation | on | Adds computational speed and memory efficiency |\n| NAG | off | This will use your negative condition and concat it with the standard WAN AI negative prompt for convenience.
If you do not want this, just disable the standard negative node.
โ ๏ธNAG needs a lot of VRAM, so if you do not need this. Just let it be disabled. |"
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"| Codec | CRF | Visual impact | Compatibility | Quality and compression |\n|----------|-----|-------|-----|-----|\n| AV1 | 30 | lossless | โญโญโญ | โญโญโญโญโญ |\n| h265 | 19 | lossless | โญโญโญโญ | โญโญโญโญ |\n| VP9 | 20 | lossless | โญโญโญโญ | โญโญโญโญ |\n| h264 | 19 | lossless | โญโญโญโญโญ | โญโญ |\n\n\n๐ก *Tip* For AI-generated videos:\n* AV1 (webm) or VP9 (webm) for websites\n* AV1 (webm) or h265 (mp4) for local store\n\n"
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"The optimal frame count is calculated automatically based on input seconds.\n\n* **16 FPS** - 5 seconds are native. After that WAN 2.2 starts looping back\n* **24 FPS** - 3 seconds are native. After that WAN 2.2 starts looping back.\n\nBoth equals the standard frame length of WAN 2.2.\n"
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"title": "Engines",
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"| Setting | Default / Example | Description |\n|--------:|------------------:|------------:|\n| I2V | safetensors/gguf | Enables the checkpoints for a mode type for I2V generation |\n| S2V | safetensors/gguf | Enables the checkpoints for a mode type for S2V generation (lipsync and audio to motion)|"
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"id": 1766,
"type": "Bookmark (rgthree)",
"pos": [
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"size": [
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"collapsed": true
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"order": 27,
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"title": "Model links WAN22",
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"### I2V\n- [DaSiWa WAN 2.2 i2v 14B (S) Lightspeed](https://civitai.com/models/1981116)\n \n OR other models (like GGUF) from my collection\n- [DaSiWa Collection](https://civitai.com/collections/13277112)\n### S2V\n- [DaSiWa WAN 2.2 S2V 14B Lightspeed](https://civitai.com/models/2151205)\n\n### VAE\n\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\n### Text_encoders\n\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n### Audio_encoder\n- [Wav2Vec2 FP16](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/audio_encoders)\n\n## Model Storage Location\n\n```\n๐ ComfyUI/\nโโโ ๐ models/\nโ โโโ ๐ unet/\nโ โ โโโ *.safetensors / *.gguf\nโ โโโ ๐ vae/\nโ โ โโโ wan_2.1_vae.safetensors\nโ โโโ ๐ text_encoders/\nโ โ โโโ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ โโโ ๐ audio_encoders/ \nโ โ โโโ wav2vec2_large_english_fp16.safetensors\n```\n"
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"fullpath": "/home/darksidewalker/GitHub/ComfyUI/output/video/2026-04-29/172130_00001-audio.webm"
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"## Requirements\n- [ComfyUI-VideoHelperSuite](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite)\n- [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)\n- [Comfyui-WhiteRabbit](https://github.com/Artificial-Sweetener/comfyui-WhiteRabbit)
+ *packaging, torchlanc*\n- [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n- [ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use) \n- [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)\n- [ComfyUI-DaSiWa-Nodes](https://github.com/darksidewalker/ComfyUI-DaSiWa-Nodes)\n- [ComfyUI-LTXVideo](https://github.com/Lightricks/ComfyUI-LTXVideo)\n- [ffmpeg](https://www.ffmpeg.org/)\n- [Sage Attention](https://github.com/thu-ml/SageAttention) (optional)\n- [Nvidia_RTX_Nodes_ComfyUI](https://github.com/Comfy-Org/Nvidia_RTX_Nodes_ComfyUI)\n---\n\n## Features\n\n- ๐ผ๏ธ **I2V and FLF2V** + Audio\n- ๐งฉ **Automatic aspectโratio calculation and fitting**\n- โจ **Multiple Upscalers**\n - **Torchlanc** (very fast, color correct, low VRAM) \n - **Upscale with Model** (additional detail, high quality)\n - **RTX Super Resolution** (ultra fast, very accurate)
\n- ๐ค **Video resolution matching** - Fully automatic scaling and resolution calculations\n- ๐ **Length automation** - Fully automatic calculation of frame count\n- ๐ **Add audio** with LTX23 & CozyVoice\n- ๐ซฅ **Watermark** option\n- ๐ข **Soundmark** option\n- ๐งฎ **Color match** feature\n- ๐พ **MiniMeme** feature - Create small gif's\n- ๐ญ **NAG** - Negative prompting with CFG1\n- ๐ช **Interpolation** feature\n- ๐ **Perfect loop** feature\n- ๐ **Last Frame Extraction**\n- ๐ **Bookmark-Shortcuts** - with number keys\n\n---\n\n## Latest Changes / Fixes\n- Added DaSiWa Nodes\n- NAG for everything\n- Chunking\n- LTX23 for V2V Audio\n- Many feature enhancements\n- More native nodes\n- Interpolation with safetensors and recent model\n- Removed video combine for now (comfyui bug)\n- Removed WAN S2V, Hunyuan, MMAudio"
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"### Frame Interpolation\n- [frame interpolation models](https://huggingface.co/Comfy-Org/frame_interpolation/tree/main/frame_interpolation) (optional)\n- [Upscale model](https://openmodeldb.info/) (optional)\n## Model Storage Location\n\n```\n๐ ComfyUI/\nโโโ ๐ models/\nโ โโโ ๐ frame_interpolation/\nโ โ โโโ *.safetensors\nโ โโโ ๐ upscale_models\nโ โ โโโ *.safetensors\n```\n"
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"### Model\nAny LTX 2.3 Model | Mine:
\n[dasiwa-ltx-23-or-lightspeed-or-safetensors](https://civitai.red/models/2543443/dasiwa-ltx-23-or-lightspeed-or-safetensors)\n\n### Latent Upscalers\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[ltx-2.3-temporal-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-temporal-upscaler-x2-1.0.safetensors?download=true)\n\n### VAE\n[LTX23_audio_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors?download=true)\n\n[LTX23_video_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors?download=true)\n\n[taeltx2_3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/taeltx2_3.safetensors?download=true)\n\n### Dual CLIP (Encoder and Projection)\n[gemma-3-12b-it-heretic-v2_fp8_e4m3fn.safetensors](https://huggingface.co/DreamFast/gemma-3-12b-it-heretic-v2/resolve/main/comfyui/gemma-3-12b-it-heretic-v2_fp8_e4m3fn.safetensors?download=true)\n\n[ltx-2.3_text_projection_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors?download=true)\n\n### Distilled LoRAs (optional)\n[ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors?download=true)\n
OR
\n[ltx-2.3-22b-distilled-lora-384.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-22b-distilled-lora-384.safetensors)\n\n### Model Storage Location\n\n```\n๐ ComfyUI/\nโโโ ๐ models/\nโ โโโ ๐ unet/\nโ โ โโโ ltx-2.3-22b-distilled_transformer_only_fp8_scaled.safetensors\nโ โโโ ๐ vae/\nโ โ โโโ LTX23_audio_vae_bf16.safetensors\nโ โ โโโ LTX23_video_vae_bf16.safetensors\nโ โ โโโ taeltx2_3.safetensors\nโ โโโโ๐ text_encoders/\nโ โ โโโ gemma_3_12B_it_heretic_fp8_e4m3fn.safetensors\nโ โ โโโ ltx-2.3_text_projection_bf16.safetensors \nโ โโโโ๐ latent_upscale_models/ \nโ โ โโโ ltx-2.3-spatial-upscaler-x2-1.1.safetensors\nโ โ โโโ ltx-2.3-temporal-upscaler-x2-1.0.safetensors\nโ โโโโ๐ loras\nโ โ โโโ ๐ LTX\nโ โ โ โโโ ltx-2.3-22b-distilled-lora-*.safetensors\n```\n"
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