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--- |
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tags: |
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- text-to-image |
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- lora |
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- diffusers |
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- template:diffusion-lora |
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widget: |
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- text: uni laying in a cardboard box on the floor, with a blurred background |
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output: |
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url: images/image_00057_.png |
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- text: uni sitting atop a wooden box with the word "UNI" written on it, The cat is wearing a pink bow tie, and in the background there is a wall |
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output: |
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url: images/image_00062_.png |
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- text: uni sitting on top of a wooden floor, wearing a red scarf around its neck, The background is slightly blurred, giving the focus to the cat |
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output: |
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url: images/image_00065_.png |
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- text: uni wearing a festive Santa Claus outfit, complete with a red and white dress and a red cap. The background is slightly blurred, giving the focus to the cat and its outfit |
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output: |
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url: images/image_00066_.png |
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- text: uni sitting on a couch wearing a bright yellow scarf, The background is slightly blurred, giving the focus to the cat and its scarf |
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output: |
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url: images/image_00067_.png |
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- text: uni with its mouth open, yawning in a blue bag |
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output: |
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url: images/image_00068_.png |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: Uni |
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license: other |
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license_name: flux-1-dev-non-commercial-license |
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md |
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--- |
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# Uni |
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<Gallery /> |
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## Model description |
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Uni is the star of this LoRa. Follow her adventures and cuteness on her human's Instagram: @unico_uniuni |
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## Trigger words |
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You should use `Uni` to trigger the image generation. |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download](/Hack337/flux-lora-Uni/tree/main) them 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('Hack337/flux-lora-Uni', weight_name='uni') |
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image = pipeline('uni laying in a cardboard box on the floor, with a blurred background').images[0] |
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image.save("my_image.png") |
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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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