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LTX-2.3-Spatial-Upsampler-x2-1.1-Diffusers
CalamitousFelicitousness/LTX-2.3-Spatial-Upsampler-x2-1.1-Diffusers
LTX-2.3-Spatial-Upsampler-x2-1.1-Diffusers is a machine learning model from CalamitousFelicitousness. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as apache-2.0.
Diffusers-format conversion of ltx-2.3-spatial-upscaler-x2-1.1.safetensors from the official Lightricks/LTX-2.3 release.
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At a glance
- Library
- diffusers
- License
- apache-2.0
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- 1dfb2564
Base models
Model card
From the Hugging Face model README
LTX-2.3 Spatial Upscaler x2 1.1 (Diffusers)
Diffusers-format conversion of ltx-2.3-spatial-upscaler-x2-1.1.safetensors from the official Lightricks/LTX-2.3 release.
Weights are byte-identical to the upstream release; only the layout has been rearranged so LTX2LatentUpsamplerModel.from_pretrained and LTX2LatentUpsamplePipeline can consume it directly.
Usage
import torch
from diffusers.pipelines.ltx2 import LTX2LatentUpsamplerModel
from diffusers.pipelines.ltx2.pipeline_ltx2_latent_upsample import LTX2LatentUpsamplePipeline
latent_upsampler = LTX2LatentUpsamplerModel.from_pretrained(
'<your-username>/<your-repo>',
subfolder='latent_upsampler',
torch_dtype=torch.bfloat16,
)
upsample_pipe = LTX2LatentUpsamplePipeline(vae=your_pipe.vae, latent_upsampler=latent_upsampler)
License
Apache 2.0, inherited from the upstream Lightricks/LTX-2.3 release.
- Library
- diffusers
- License
- apache-2.0
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026