Instructions to use Plaguekind/ltx2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use Plaguekind/ltx2.3 with LTX.io:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder hf download Plaguekind/ltx2.3 --local-dir models/ltx2.3 hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/ltx2.3/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/ltx2.3/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/ltx2.3/<checkpoint>.safetensors \ --distilled-lora models/ltx2.3/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/ltx2.3/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
Pruna vae error
#2
by fishmann-g - opened
ComfyUI Error Report
Error Details
- Node ID: 5310:5222
- Node Type: VAELoader
- Exception Type: RuntimeError
- Exception Message: RuntimeError: Error(s) in loading state_dict for VideoVAE:
size mismatch for decoder.conv_in.conv.weight: copying a param with shape torch.Size([1024, 128, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([2048, 128, 3, 3, 3]).
size mismatch for decoder.conv_in.conv.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for decoder.up_blocks.0.res_blocks.0.conv1.conv.weight: copying a param with shape torch.Size([1024, 1024, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([2048, 2048, 3, 3, 3]).
size mismatch for decoder.up_blocks.0.res_blocks.0.conv1.conv.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
<....>
fishmann-g changed discussion title from Prune error to Pruna vae error
ComfyUI Error Report
Error Details
- Node ID: 5310:5222
- Node Type: VAELoader
- Exception Type: RuntimeError
- Exception Message: RuntimeError: Error(s) in loading state_dict for VideoVAE:
size mismatch for decoder.conv_in.conv.weight: copying a param with shape torch.Size([1024, 128, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([2048, 128, 3, 3, 3]).
size mismatch for decoder.conv_in.conv.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for decoder.up_blocks.0.res_blocks.0.conv1.conv.weight: copying a param with shape torch.Size([1024, 1024, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([2048, 2048, 3, 3, 3]).
size mismatch for decoder.up_blocks.0.res_blocks.0.conv1.conv.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
<....>
You need to update comfyui to use pruna. Support was just added.
ComfyUI Error Report
Error Details
- Node ID: 5310:5222
- Node Type: VAELoader
- Exception Type: RuntimeError
- Exception Message: RuntimeError: Error(s) in loading state_dict for VideoVAE:
size mismatch for decoder.conv_in.conv.weight: copying a param with shape torch.Size([1024, 128, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([2048, 128, 3, 3, 3]).
size mismatch for decoder.conv_in.conv.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for decoder.up_blocks.0.res_blocks.0.conv1.conv.weight: copying a param with shape torch.Size([1024, 1024, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([2048, 2048, 3, 3, 3]).
size mismatch for decoder.up_blocks.0.res_blocks.0.conv1.conv.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([2048]).
<....>You need to update comfyui to use pruna. Support was just added.
I've already updated to the latest version, 0.29.2, but I'm still getting the same error—it's completely unusable.