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@@ -57,6 +57,27 @@ Download these from the [`vae` directory](https://huggingface.co/Lightricks/LTX-
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  * **`ltx-2.5-video-vae-bf16.safetensors`** (1.47 GB) — The primary DiffVAE for highest-quality video decoding.
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  * **`ltx-2.5-video-vae-conv-bf16.safetensors`** (1.45 GB) — Convolutional video VAE for faster, lighter processing.
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  * **`ltx-2.5-audio-vae-bf16.safetensors`** (365 MB) — Audio VAE and vocoder required for synchronized audio generation.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## About the Original Model
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  **LTX-2.5** is an open-world model built for local execution and fine-tuning. It specializes in generating synchronized, high-fidelity video and audio from text, image, and video inputs.
 
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  * **`ltx-2.5-video-vae-bf16.safetensors`** (1.47 GB) — The primary DiffVAE for highest-quality video decoding.
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  * **`ltx-2.5-video-vae-conv-bf16.safetensors`** (1.45 GB) — Convolutional video VAE for faster, lighter processing.
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  * **`ltx-2.5-audio-vae-bf16.safetensors`** (365 MB) — Audio VAE and vocoder required for synchronized audio generation.
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+ ## 📈 Latent Upscalers (Recommended)
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+ To achieve maximum visual fidelity and smoothness, it is highly recommended to use the official Stage 2 latent upscalers alongside this GGUF model.
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+ You can download them from the official [Lightricks LTX-2.5 Repository here](https://huggingface.co/Lightricks/LTX-2.5/tree/main/latent_upscale_models).
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+ ### Available Upscaler Models
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+ * **[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)** (996 MB)
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+ * *Function:* Doubles the pixel resolution of your generated video for sharp, 4K-like crispness.
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+ * **[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)** (262 MB)
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+ * *Function:* Doubles the framerate (e.g., 24fps to 48fps) by interpolating frames, resulting in buttery-smooth motion.
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+ ## ComfyUI T2V and I2V GGUF Workflows
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+ To make running this GGUF model as plug-and-play as possible, I have included two pre-configured ComfyUI workflows in this repository.
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+ You can view and download them directly here:
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+ * 🎥 **[Text-to-Video Workflow (T2V)](https://huggingface.co/Abiray/LTX-2.5-Distilled-GGUF/blob/main/video_ltx2_5_t2v_GGUF.json)**
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+ * *Best for:* Generating videos from scratch using only text prompts and audio conditioning.
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+ * 🖼️ **[Image-to-Video Workflow (I2V)](https://huggingface.co/Abiray/LTX-2.5-Distilled-GGUF/blob/main/video_ltx2_5_i2v_GGUF.json)**
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+ * *Best for:* Animating a starting input image (like a portrait or landscape) while using a text prompt to guide the motion and camera tracking.
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  ## About the Original Model
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  **LTX-2.5** is an open-world model built for local execution and fine-tuning. It specializes in generating synchronized, high-fidelity video and audio from text, image, and video inputs.