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Implement LTX-2.3 image-to-video Gradio Space
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metadata 
title: Ltx M V2
emoji: 🔥
colorFrom: purple
colorTo: purple
sdk: gradio
sdk_version: 6.19.0
python_version: '3.12'
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

LTX-2.3 Image → Video

Upload an image and a prompt to generate ~5 seconds of video (with audio) using the LTX-2.3 22B distilled model via diffusers. This is a native Gradio reimplementation of the model stack used by the WhatDreamsCost "LTX Director 2" ComfyUI workflow.

  • Model: diffusers/LTX-2.3-Distilled-Diffusers (8 steps, CFG 1)
  • Output: 121 frames @ 24 fps, with audio
  • 2× upscale: optional toggle, off by default (slower; may exceed the ZeroGPU per-call time budget)

Hardware

Requires a ZeroGPU (H200) Space — set this in the Space's Settings → Hardware. The 22B model uses enable_model_cpu_offload() to fit in 70 GB.

Design doc: docs/superpowers/specs/2026-06-25-ltx-image-to-video-space-design.md