# Big update to the LTX Trainer: One framework, many conditioning modes

Canonical: https://ai-video.holycrab.ai/videos/reddit-StableDiffusion-a73e1d530d5cb09f/
Markdown: https://ai-video.holycrab.ai/videos/reddit-StableDiffusion-a73e1d530d5cb09f.md
Last updated: 2026-06-18

Citation summary: We're shipping a major update to the LTX Trainer today.

## Watchable AI Video

- Video detail page: https://ai-video.holycrab.ai/videos/reddit-StableDiffusion-a73e1d530d5cb09f/
- Source page: https://www.reddit.com/r/StableDiffusion/
- Source handle: r/StableDiffusion
- Video file: https://v.redd.it/3m5mnltvuu7h1/HLSPlaylist.m3u8
- Thumbnail: https://external-preview.redd.it/d3ZxN3g0dXZ1dTdoMZ9kj0asiwLd6hNmgrAR-ATZhKqbYy1MCKwbIx4ttykm.png?width=640&crop=smart&auto=webp&s=323ff694df5d13cbb16531141f73ce74f15f7fae

## Trend Facts

- Category: Workflow
- Model signal: AI Video
- Published: 2026-06-17T14:43:49Z
- Trend window: 24h
- Trend score: 56
- Prompt ready: yes
- Source trust: 58
- Tags: Workflow, AI Video, reddit, workflow breakdown, product hook, challenge series, community find

## HolyCrab Remix Prompt

Create a workflow AI video based on 'Big update to the LTX Trainer: One framework, many conditioning modes'. Keep the concept focused, use AI Video style constraints only if the model is known, and make the motion readable. Rebuild the core idea with a clear subject, readable motion, and the same payoff. Keep the prompt grounded in the linked example.

## Source-Derived Prompt Brief

We're shipping a major update to the LTX Trainer today. The core change is a new flexible conditioning strategy that replaces the old text-to-video and image-to-video strategies. Instead of choosing a script per task, you describe what's being generated, what's conditioning, and what conditions to apply in a config, and one training run handles the rest. You can mix I2V and T2V in the same run, and images and videos can now coexist in the same dataset. All the modes, one config format Video : T2V, I2V, extension (forward and backward), inpainting, outpainting Audio : T2A, audio extension, audio inpainting Cross-modal : audio-to-video, video-to-audio (foley) IC-LoRA control adapters : V2V, A2A, AV2AV Each ships as a ready-made example config. Copy the one closest to what you need, point it at your data, train. The conditions can also be combined and mixed. Several can be combined on one m

## Why This AI Video Works

Works as a learning asset when it explains how the creator reached a usable AI video result.

## Prompt Anatomy

- Subject: Big update to the LTX Trainer: One framework, many conditioning modes
- Action: Extract the repeatable setup, model choice, reference input, and failure mode behind the clip.
- Scene: Use the original post as the visual reference and preserve the strongest context clues.
- Camera: Keep the visual example secondary to the production lesson and summarize the reusable steps.
- Lighting: Match the visible mood and contrast from the source example.
- Style: Workflow · Workflow, AI Video, reddit, workflow breakdown
- Audio: Leave audio open unless the source post describes sound or dialogue.

## Recreate Steps

1. Open with the exact subject from the source title.
2. Extract the repeatable setup, model choice, reference input, and failure mode behind the clip.
3. Keep the visual example secondary to the production lesson and summarize the reusable steps.
4. End with one clean payoff frame that can be reused as a thumbnail or prompt reference.

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