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ltx-2-19b-dev-fp8_e5m2
progmars/ltx-2-19b-dev-fp8_e5m2
ltx-2-19b-dev-fp8_e5m2 is a machine learning model from progmars. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Original model: https://huggingface.co/Lightricks/LTX-2
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Public
Updated Jan 17, 2026
Repo size
54.2 GB
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6
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.safetensors54.2 GB · 100%
At a glance
- License
- other
- Access
- Public
- Created
- Jan 11, 2026
- Updated
- Jan 17, 2026
- SHA
- 67c595b3
Model card
From the Hugging Face model README
Original model: https://huggingface.co/Lightricks/LTX-2
Quantized to fp8_e5m2 to support older Triton with older Pytorch on 30 series GPUs (for example, in default installation of WangGP in Pinokio with Performance -> Compile Transformer Model enabled).
If you have Triton >= 3.5 (which requires Pytorch >= 3.9), the default ltx-2-19b-dev-fp8_diffusion_model.safetensors might work for you and you don't need this.
Usage: download ltx-2-19b-dev-fp8_e5m2.safetensors (or ltx-2-19b-distilled-fp8_e5m2.safetensors if you want to use distilled weights) and put it WanGP ckpts folder (e.g. pinokio\api\wan.git\app\ckpts for Pinokio). Rename the file to ltx-2-19b-dev-fp8_diffusion_model.safetensors (or ltx-2-19b-distilled-fp8_diffusion_model.safetensors if you have downloaded the distilled weights). If the folder already has that file, rename it to _old in case you want to return to FP8_E4M3 weights.
WARNING: for unknown reasons, this does not work in ComfyUI - the result is black video and -Inf errors for audio. Maybe something is expecting specifically FP8_E4M3. If you manage to get it working in Comfy, let me know.
- License
- other
- Created
- Jan 11, 2026
- Updated
- Jan 17, 2026