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            ---
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            license: other
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            library_name: diffusers
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            tags:
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            - text-to-image
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            - diffusers-training
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            - diffusers
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            - lora
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            - replicate
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            - template:sd-lora
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            - sd3.5-large
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            - sd3.5
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            - sd3.5-diffusers
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            base_model: stabilityai/stable-diffusion-3.5-large
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            instance_prompt: a photo of QSO dog
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            widget: []
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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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            # SD3.5-Large DreamBooth LoRA - lucataco/SD3.5-Large-queso
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            <Gallery />
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            ## Model description
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            These are lucataco/SD3.5-Large-queso DreamBooth LoRA weights for stable-diffusion-3.5-large.
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            The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).
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            Was LoRA for the text encoder enabled? False.
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            ## Trigger words
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            You should use `a photo of QSO dog` to trigger the image generation.
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            ## Download model
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            [Download the *.safetensors LoRA](lucataco/SD3.5-Large-queso/tree/main) in the Files & versions tab.
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            ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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            ```py
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            from diffusers import AutoPipelineForText2Image
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            import torch
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            pipeline = AutoPipelineForText2Image.from_pretrained(stable-diffusion-3.5-large, torch_dtype=torch.float16).to('cuda')
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            pipeline.load_lora_weights('lucataco/SD3.5-Large-queso', weight_name='pytorch_lora_weights.safetensors')
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            image = pipeline('a photo of QSO dog').images[0]
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            ```
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            ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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            - **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/lucataco/SD3.5-Large-queso/blob/main/diffusers_lora_weights.safetensors)**.
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                - Rename it and place it on your `models/Lora` folder.
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                - On AUTOMATIC1111, load the LoRA by adding `<lora:your_new_name:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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            For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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            ## License
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            Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md).
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            ## Training details
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            Trained on Replicate using: [lucataco/stable-diffusion-3.5-large-lora-trainer](https://replicate.com/lucataco/stable-diffusion-3.5-large-lora-trainer)
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            ## Intended uses & limitations
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            #### How to use
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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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            #### Limitations and bias
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            [TODO: provide examples of latent issues and potential remediations]
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            ## Training details
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            [TODO: describe the data used to train the model]
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            version https://git-lfs.github.com/spec/v1
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            oid sha256:6cdb95174e49a75fd6e0a5a01288e9360728dc5ded6b34775a18e92824273df7
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            size 23697992
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