README.md

metadata

title: LTX CrossView Camera Control
emoji: 🎥
colorFrom: red
colorTo: pink
sdk: gradio
sdk_version: 6.20.0
app_file: app.py
pinned: false
hardware: zero-a10g
short_description: Re-render a video from a new camera angle via IC-LoRA
python_version: '3.12'
models:
  - Lightricks/LTX-2.3
  - Cseti/LTX2.3-22B_IC-LoRA-CrossView-Prompt

LTX CrossView Camera Control

This Space demonstrates the Cseti/LTX2.3-22B_IC-LoRA-CrossView-Prompt IC-LoRA for LTX-Video 2.3.

What it does

Upload a reference video and pick a new camera angle (azimuth, elevation, distance). The model re-renders the same scene from the requested viewpoint — like a virtual second camera on the same take.

How it works

• Base model: LTX-Video 2.3 (22B) via the diffusers-converted variant (dg845/LTX-2.3-Diffusers)
• Pipeline: LTX2InContextPipeline with LTX2ReferenceCondition for in-context video conditioning
• LoRA: applied via standard pipe.load_lora_weights() + set_adapters()

Prompt vocabulary

The LoRA was trained on a fixed, discrete camera vocabulary. Prompts follow the template:

crossview. new camera angle: {azimuth}, {elevation}, {distance}.

Use the dropdowns in the UI to build a valid prompt — the app constructs it automatically.

Tips

• Small angle changes work best. For larger viewpoint shifts, chain multiple small steps (feed the generated view back in as the new reference).
• LoRA strength of 1.0–1.5 is recommended. Higher values produce a stronger viewpoint shift.
• Generation takes ~2-4 minutes for a 3-second video at 30 steps.