Instructions to use ExpertAtCoding/LTX-2.3-backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use ExpertAtCoding/LTX-2.3-backup with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,887 Bytes
4cfa37e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | # LTX-2.5 WanGP runtime files
## Main transformers (repository root)
- `ltx-2.5-22b-dev_diffusion_model_bf16.safetensors`
- `ltx-2.5-22b-dev_diffusion_model_int8_convrot.safetensors`
- `ltx-2.5-22b-distilled_diffusion_model_bf16.safetensors`
- `ltx-2.5-22b-distilled_diffusion_model_int8_convrot.safetensors`
- `ltx-2.5-22b-distilled_diffusion_model_nvfp4.safetensors`
## Shared/offloadable components (repository root)
- `ltx-2.5-22b_video_embeddings_connector_bf16.safetensors`
- `ltx-2.5-22b_audio_embeddings_connector_bf16.safetensors`
- `ltx-2.5-22b_video_embeddings_connector_int8_convrot.safetensors`
- `ltx-2.5-22b_audio_embeddings_connector_int8_convrot.safetensors`
- `ltx-2.5-22b_video_embeddings_connector_nvfp4_bf16.safetensors`
- `ltx-2.5-22b_audio_embeddings_connector_nvfp4_bf16.safetensors`
- `ltx-2.5-22b_text_embedding_projection_bf16.safetensors`
- `ltx-2.5-22b_video_vae_bf16.safetensors`
- `ltx-2.5-22b_audio_vae_bf16.safetensors`
- `ltx-2.5-22b_vocoder_bf16.safetensors`
- `ltx-2.5-spatial-upscaler-x2-1.0_bf16.safetensors`
- `ltx-2.5-temporal-upscaler-x2-1.0_bf16.safetensors`
Dev and Distilled connector tensors are shared only after equality verification. The official NVFP4 transformer has different connector values, so it uses its own BF16 connector pair.
## Optional LTX-2.5 LoRA
- `ltx-2.5-22b-distilled-lora-450_bf16.safetensors`
This upstream LTX-2.5 LoRA is retained as an optional asset but is not automatically enabled by the WanGP LTX-2.5 defaults. LTX-2.0/2.3 LoRAs and their feature workflows remain isolated from LTX-2.5.
## Gemma 4 (`gemma4-12b-ltx-v1/`)
- `gemma4-12b-ltx-v1_bf16.safetensors`
- `gemma4-12b-ltx-v1_int8_convrot.safetensors`
- `config.json`
- `tokenizer.json`
- `tokenizer_config.json`
- `chat_template.jinja`
These files are derivatives of the official LTX-2.5 release and are distributed under `LICENSE-LTX-2.5.txt`.
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