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elismasilva
/
ltx2.3-image-base

Text-to-Image
Diffusers
Safetensors
LTX2ImagePipeline
image-to-image
image-generation
ltx-2
ltx-2-3
ltx-video
ltxv
lightricks
Model card Files
xet
 Community
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("elismasilva/ltx2.3-image-base", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

LTX 2.3 Image Base (bf16)

This repository contains a bf16 base image-only checkpoint derived from the base LTX 2.3 model by Lightricks.

It is a pruned image-only execution package: the model is organized for the LTX 2.3 image generation path and does not expose the original video/audio generation flows. The underlying model family and weights remain derived from LTX 2.3, and this package continues to inherit the original LTX Video 2 Open Source License.

What Changed

  • Packaged for Diffusers-based image-only inference.
  • Pruned to remove components that are not needed by the image execution path.
  • Intended for the LTX2ImagePipeline and LTX2ImageImg2ImgPipeline implementations used by the DEVAIEXP image runners.
  • Not a new training run and not a dataset modification.

Variant

This variant keeps the base image transformer in bf16 precision.

  • Best quality reference among the base image-only variants.
  • Recommended when quality and prompt flexibility matter more than memory footprint.
  • Uses the base inference setup: more denoising steps than distilled and classifier-free guidance enabled.

Usage

For installation, environment setup, model path expectations, and runnable text-to-image / image-to-image examples, see:

https://github.com/DEVAIEXP/ltx2-image-diffusers

That repository uses a temporary Diffusers branch with the LTX 2.3 image pipelines until equivalent support is available upstream.

License

These weights are derived from Lightricks/LTX-2.3 and are released under the LTX Video 2 Open Source License:

https://huggingface.co/Lightricks/LTX-2.3/blob/main/LICENSE

Please review the original LTX 2.3 model card and license before redistribution or commercial use.

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