Instructions to use Alissonerdx/LTX-LoRAs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use Alissonerdx/LTX-LoRAs 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 Alissonerdx/LTX-LoRAs --local-dir models/LTX-LoRAs hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Text/image-to-video with the LoRA on the HQ two-stage base pipeline uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path path/to/checkpoint.safetensors \ --distilled-lora path/to/distilled_lora.safetensors 0.8 \ --spatial-upsampler-path path/to/spatial_upsampler.safetensors \ --gemma-root models/gemma-3-12b \ --lora models/LTX-LoRAs/<weights>.safetensors 1.0 \ --prompt "your prompt here" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
README.md
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| `ltx23_inpaint_rank128_v1_02500steps.safetensors` | Sometimes this checkpoint follows the prompt better, probably because it experienced less overfitting. |
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| `ltx23_inpaint_rank128_v1_10000steps.safetensors` | Sometimes this checkpoint doesn't follow instructions quite right, because it focuses more on the size of the mask; but other than that, it uses the masked region better. This is probably because it experienced more overfitting after a longer training period on a more limited dataset. |
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| `ltx23_inpaint_masked_r2v_rank32_v1_3000steps.safetensors` | Inpainting LoRA with reference support. This model allows inpainting while also using a visual reference, which can help guide the desired replacement more precisely. Prompt quality is extremely important for good results, and mask size matters even more. |
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| `ltx23_edit_anything_global_rank128_v1_6000steps_prodigy or
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Use whatever suits you best.
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This repo also includes an **experimental Edit Anything LoRA** for **video editing**.
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**Model file:** `
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**Model location:** <https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/
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**Recommended workflow:** `ltx23_edit_anything_v1`
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| `ltx23_inpaint_rank128_v1_02500steps.safetensors` | Sometimes this checkpoint follows the prompt better, probably because it experienced less overfitting. |
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| `ltx23_inpaint_rank128_v1_10000steps.safetensors` | Sometimes this checkpoint doesn't follow instructions quite right, because it focuses more on the size of the mask; but other than that, it uses the masked region better. This is probably because it experienced more overfitting after a longer training period on a more limited dataset. |
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| `ltx23_inpaint_masked_r2v_rank32_v1_3000steps.safetensors` | Inpainting LoRA with reference support. This model allows inpainting while also using a visual reference, which can help guide the desired replacement more precisely. Prompt quality is extremely important for good results, and mask size matters even more. |
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| `ltx23_edit_anything_global_rank128_v1_6000steps_prodigy or ltx23_edit_anything_global_rank128_v1_9000steps_adamw.safetensors` | Experimental Edit Anything LoRA trained on 8,000 video pairs for add / remove / replace / style transformations. Best used for experimentation, prompt testing, and building synthetic datasets, especially style-focused ones. Model file: <https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/ltx23_edit_anything_global_rank128_v1_9000steps_adamw.safetensors> |
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Use whatever suits you best.
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This repo also includes an **experimental Edit Anything LoRA** for **video editing**.
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**Model file:** `ltx23_edit_anything_global_rank128_v1_9000steps_adamw.safetensors`
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**Model location:** <https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/ltx23_edit_anything_global_rank128_v1_9000steps_adamw.safetensors>
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**Recommended workflow:** `ltx23_edit_anything_v1`
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ltx23_edit_anything_global_rank128_v1_9000steps_adamw.safetensors
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"# LTX-2.3\n\n* Hugging Face: [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3/)\n* GitHub: [LTX-2](https://github.com/Lightricks/LTX-2)\n\n## LTX-2.3 Prompting Tips\n\n1. **Core Actions**: describe events and actions as they happen over time\n2. **Visual Details**: describe all visual details you want to appear in the video\n3. **Audio**: describe any sounds and dialogue needed for the scene\n\n## Report LTX-2.3 Issues\n\nTo report issues when running this workflow, go here:\n[https://github.com/Lightricks/ComfyUI-LTXVideo/issues](https://github.com/Lightricks/ComfyUI-LTXVideo/issues)\n\n---\n\n## Required Models and Files\n\n### diffusion_models\n\n**Option 1**\n\n* [ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/diffusion_models/ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors)\n\n\n* [ltx-2.3-22b-dev-Q6_K.gguf](https://huggingface.co/unsloth/LTX-2.3-GGUF/blob/main/ltx-2.3-22b-dev-Q6_K.gguf)\n\n\n> This model requires the **distilled LoRA** if you want to generate videos in **8 steps**.\n\n**Option 2**\n\n* [ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/diffusion_models/ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors)\n\n* [ltx-2.3-22b-distilled-1.1_transformer_only_fp8_scaled.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/diffusion_models/ltx-2.3-22b-distilled-1.1_transformer_only_fp8_scaled.safetensors) - Added 16-04-2026\n\n> This models **does not require** the distilled LoRA.\n\n---\n\n### vaes\n\n* [LTX23_audio_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/LTX23_audio_vae_bf16.safetensors)\n* [LTX23_video_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/LTX23_video_vae_bf16.safetensors)\n\n**For preview**\n\n* [taeltx2_3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/taeltx2_3.safetensors)\n\n---\n\n### projection text encoder\n\n* [ltx-2.3_text_projection_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors)\n\n---\n\n### text encoder\n\nYou can download the text encoder here:\n\n* [gemma_3_12B_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/ltx-2/blob/main/split_files/text_encoders/gemma_3_12B_it_fp8_scaled.safetensors)\n\n---\n\n### loras\n\n* [ltx-2.3-22b-distilled-1.1_lora-dynamic_fro09_avg_rank_111_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/loras/ltx-2.3-22b-distilled-1.1_lora-dynamic_fro09_avg_rank_111_bf16.safetensors)\n\n* [ltx23_edit_anything_global_rank128_v1_7500steps.safetensors](https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/ltx23_edit_anything_global_rank128_v1_7500steps.safetensors)\n\n* [ltx-2.3-22b-distilled-lora-384-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-22b-distilled-lora-384-1.1.safetensors)\n\n> If you download\n> **ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors**,\n> use the LoRA above.\n\n---\n\n### upscalers\n\n**Spatial upscaler**\n\n* [ltx-2.3-spatial-upscaler-x2-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors)\n\n**Temporal upscaler**\n\n* [ltx-2.3-temporal-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-temporal-upscaler-x2-1.0.safetensors)\n\n---\n\n## Model Folder Structure\n\n```text\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ ├── ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors\n│ │ └── ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors\n│ ├── 📂 vae/\n│ │ ├── LTX23_audio_vae_bf16.safetensors\n│ │ ├── LTX23_video_vae_bf16.safetensors\n│ │ └── taeltx2_3.safetensors\n│ ├── 📂 text_encoders/\n│ │ ├── ltx-2.3_text_projection_bf16.safetensors\n│ │ └── gemma_3_12B_it_fp8_scaled.safetensors\n│ ├── 📂 loras/\n│ │ ├── ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors\n│ │ ├── ltx23_edit_anything_global_rank128_v1_7500steps.safetensors\n│ └── 📂 latent_upscale_models/\n│ ├── ltx-2.3-spatial-upscaler-x2-1.1.safetensors\n│ └── ltx-2.3-temporal-upscaler-x2-1.0.safetensors\n```\n\n---\n\n## Important Notes\n\n* If you use **`ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors`**, you will also need the **distilled LoRA** to generate videos in **8 steps**.\n* If you use **`ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors`**, the **LoRA is not required**.\n* **`taeltx2_3.safetensors`** is used for **preview**.\n* Both **spatial** and **temporal** upscalers are optional.\n\n---\n\n## Report Issues\n\nBefore reporting any issue, make sure to update ComfyUI first:\n[ComfyUI update guide](https://docs.comfy.org/installation/update_comfyui)\n\n> Note: Desktop and Cloud releases follow stable builds, so some models supported in nightly versions may not be available yet.\n\n### Where to report each issue type\n\n* Cannot run / runtime errors: [ComfyUI/issues](https://github.com/Comfy-Org/ComfyUI/issues)\n* UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n* Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n\n\n"
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