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.ipynb_checkpoints/README-checkpoint.md ADDED
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+ ---
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+ base_model: Lightricks/LTX-Video
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+ library_name: diffusers
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+ widget: []
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+ tags:
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+ - text-to-video
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+ - diffusers-training
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+ - diffusers
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+ - finetrainers
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+ - template:sd-lora
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+ - lora
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # LoRA Finetune
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ This is a lora finetune of model: `Lightricks/LTX-Video`.
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+
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+ The model was trained using [`finetrainers`](https://github.com/a-r-r-o-w/finetrainers).
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+
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+ `id_token` used: BW_STYLE (if it's not `None`, it should be used in the prompts.)
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+
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+ ## Download model
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+
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+ [Download LoRA](smktech9/ltx-video/tree/main) in the Files & Versions tab.
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+
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+ ## Usage
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+
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+ Requires the [🧨 Diffusers library](https://github.com/huggingface/diffusers) installed.
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+
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+ ```py
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+ TODO
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+ ```
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+
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+ For more details, including weighting, merging and fusing LoRAs, check the [documentation](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) on loading LoRAs in diffusers.
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
README.md CHANGED
@@ -9,6 +9,12 @@ tags:
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  - finetrainers
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  - template:sd-lora
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  - lora
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the training script had access to. You
 
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  - finetrainers
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  - template:sd-lora
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  - lora
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+ - text-to-video
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+ - diffusers-training
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+ - diffusers
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+ - finetrainers
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+ - template:sd-lora
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+ - lora
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  ---
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  <!-- This model card has been generated automatically according to the information the training script had access to. You
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