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README.md
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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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- flux
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- flux-diffusers
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- template:sd-lora
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: lego set in style of TOK
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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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# Flux DreamBooth LoRA - merve/flux-lego-lora-dreambooth
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<Gallery />
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## Model description
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These are merve/flux-lego-lora-dreambooth DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Flux diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_flux.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 `lego set in style of TOK` to trigger the image generation.
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## Download model
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[Download the *.safetensors LoRA](https://huggingface.co/merve/flux-lego-lora-dreambooth/blob/main/pytorch_lora_weights.safetensors) 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("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
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pipeline.load_lora_weights('merve/flux-lego-lora-dreambooth', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('lego set in style of TOK, a horse eating a ramen').images[0]
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```
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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/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).
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