Spaces:
Running on Zero
Running on Zero
|
Download README.md from diffusers/LTX-2.4-Prompt-Enhancer: direct link, hf CLI and curl.
- Browser
- Download file 867 Bytes
-
https://huggingface.co/spaces/diffusers/LTX-2.4-Prompt-Enhancer/resolve/main/README.md
- Command line
-
hf download hf://spaces/diffusers/LTX-2.4-Prompt-Enhancer/README.md
-
curl -L -o README.md https://huggingface.co/spaces/diffusers/LTX-2.4-Prompt-Enhancer/resolve/main/README.md
867 Bytes
A newer version of the Gradio SDK is available: 6.29.0
metadata
title: LTX-2.4 Prompt Enhancer
emoji: ✨
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 6.13.0
app_file: app.py
pinned: false
hardware: zero-a10g
short_description: Gemma-4 prompt enhancer for LTX-2.4 (called by the demos)
models:
- google/gemma-4-E2B-it
LTX-2.4 Prompt Enhancer
Standalone Gemma-4 (google/gemma-4-E2B-it) prompt enhancer for LTX-2.4. Expands a short user
prompt into a detailed audio-visual caption in the model's training-caption style, exactly
replicating diffusers' LTX2Pipeline.enhance_prompt (system prompt by mode, greedy decoding
with no_repeat_ngram_size=3).
Kept as a separate ZeroGPU Space so the enhancer (and its torchvision dependency) stays off the
main 22B video Space's memory budget — the LTX-2.4 video demos call this over gradio_client.
Add a first-frame image to enhance for image-to-video.