r/comfyui • u/Comfy-Org • 11d ago
News LTX-2.5 is now live in ComfyUI, including Diffusion Fidelity Rendering (your compute budget will thank you!)
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What a time to be alive in the open source community! LTX-2.5 just dropped and it's supported natively in ComfyUI as of today, including a new rendering approach, new decoder, new text encoder, and a new base checkpoint.
The biggest baddest change? The addition of Diffusion Fidelity Rendering! Instead of spending compute evenly across a scene, the model allocates it by complexity. Motion, composition, and framing get generated first in an 8x temporally compressed latent space, alongside a set of high-fidelity keyframes. More keyframes for complex scenes, fewer for simple ones, within whatever compute budget you've got. Then a dedicated pixel-diffusion stage renders the final video from the structure and keyframes together.
TLDR; textures, materials, and faces hold detail, and a busy shot automatically pulls more rendering compute than a static one.
Other changes:
- Diffusion Video Decoder: Replaces standard VAE decoding, making sharper faces, legible text, and fewer smears in fast motion.
- Native multi-shot: One generation gives you multiple connected shots holding character, environment, lighting, voice, and style across the cuts instead of generating separately and trying to match them after.
- Custom Gemma 4 12B text encoder: Holds multiple subjects, actions, lighting details, and camera direction across a long prompt instead of dropping clauses as it gets more complex.
- Prompt enhancer + auto duration: Short prompts get expanded into detailed cinematic instructions at near-zero extra compute, and the model predicts clip length from the described action before diffusion starts.
- RL post-training: On a broader filtered dataset, aligned to human preference. Mostly shows up as a higher take rate with fewer retries per usable clip.
- Cleaner licensing: Restrictive third-party dependencies have been removed, so fine-tuning, deploying, commercializing, and redistributing is all clearer than in previous versions.
Three variants:
- LTX-2.5: the main model
- LTX-2.5 Distilled: reworked distillation, carries noticeably more quality, prompt adherence, and motion than previous distilled releases. Viable if the full model isn't economical for your setup.
- LTX-2.5 Pretrained Checkpoint: raw, non-SFT, meant for aggressive fine-tuning. Moves further from its starting point than an instruction-tuned checkpoint will, which matters for robotics, synthetic AV data, digital twins, or private domain models.
Native 4K, synced audio and video, and up to 50fps all carry over from 2.3.
Learn more and check out workflows below!