Instructions to use infosave/LTX-2.5-cmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- cortiq
How to use infosave/LTX-2.5-cmf with cortiq:
# one Rust binary, no additional dependencies cargo install cortiq-cli # or a prebuilt binary from github.com/infosave2007/cmf/releases hf download infosave/LTX-2.5-cmf --include "*.cmf" --local-dir . ls *.cmf # some repos ship more than one quantization
cortiq animate FILE.cmf --prompt "a corgi in a chef hat flipping a pancake" --out clip.avi
- Notebooks
- Google Colab
- Kaggle
Download examples/README.md from infosave/LTX-2.5-cmf: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/infosave/LTX-2.5-cmf/resolve/main/examples/README.md
- Command line
-
hf download hf://infosave/LTX-2.5-cmf/examples/README.md
-
curl -L -o README.md https://huggingface.co/infosave/LTX-2.5-cmf/resolve/main/examples/README.md
Examples
Every file here was produced by cortiq ltx-video reading
ltx25-q4tp.cmf — one Rust process, no PyTorch, no
Python in the render path. The .mp4 files carry the soundtrack the same
48 transformer blocks generated alongside the picture; the .gif files are
silent previews for the model card.
| clip | seed | prompt |
|---|---|---|
corgi |
42 | A corgi in a chef hat flips a pancake in a sunlit kitchen. Warm morning light, static camera. |
neon |
7 | Neon rain on a Tokyo side street at night, a lone figure with a translucent umbrella walks past ramen shop signs, reflections rippling in the puddles, slow dolly. |
anvil |
3 | A blacksmith hammers glowing steel on an anvil, sparks flying, the ring of metal echoing in the workshop. |
whale |
11 | A humpback whale glides through a shaft of sunlight in deep blue water, plankton drifting like dust, the camera rises with it toward the surface. |
glass |
23 | Molten glass is blown into a bulb over an orange furnace, the glowing gather stretching and rotating, sparks drifting in the dark workshop. |
market |
5 | A spice market at golden hour, saffron and paprika in open sacks, a vendor scoops turmeric and the dust catches the light, handheld camera. |
All six are 384×256, 49 frames at 24 fps, eight ancestral Euler steps:
cortiq ltx-video --model ltx25-q4tp.cmf --seed 42 \
--height 256 --width 384 --frames 49 --fps 24 \
--prompt "A corgi in a chef hat flips a pancake in a sunlit kitchen. Warm morning light, static camera." \
--out-dir corgi/ --out-audio corgi.wav
ffmpeg -framerate 24 -i corgi/frame_%04d.ppm -i corgi.wav \
-pix_fmt yuv420p -c:v libx264 -crf 18 -c:a aac -b:a 192k -shortest corgi.mp4
The .wav files are the raw 48 kHz stereo the audio VAE and its vocoder
produced, before muxing.
Two stages, 768×512
hq1.mp4 is the same corgi prompt at 768×512 with --two-stage: eight
ancestral steps at half resolution, the learned ×2 latent upscaler, then
three deterministic steps at full resolution.
cortiq ltx-video --model ltx25-q4tp.cmf --two-stage --seed 42 \
--height 512 --width 768 --frames 49 \
--prompt "A corgi in a chef hat flips a pancake in a sunlit kitchen. Warm morning light, static camera." \
--out-dir hq/
ref1.mp4 is the reference implementation's output for the same prompt,
seed and settings — PyTorch, fp8-cast weights, an NVIDIA card. It is not the
same clip, and it is not supposed to be: the ancestral sampler draws its noise
from a different generator, so the two are different samples of the same
model rather than a reproduction. Put them side by side to judge the port on
what it should be judged on — whether it renders the same kind of thing at
the same quality.