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--- |
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tags: |
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- text-to-image |
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- flux |
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- lora |
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- diffusers |
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- template:sd-lora |
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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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inference: |
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parameters: |
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width: 1024 |
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height: 1024 |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: in decorativerelief art style |
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widget: |
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- text: parrot in decorativerelief art style |
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output: |
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url: images/example_h7l11bhwq.png |
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- text: unicorn in decorativerelief art style |
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output: |
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url: images/example_ejsz43qve.png |
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- text: a deer-like unicorn with dragon scales in decorativerelief art style |
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output: |
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url: images/example_pdutyw8w6.png |
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--- |
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# Decorative Relief |
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<Gallery /> |
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## Model description |
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A decorative relief lora inspired by Indonesian art. |
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## Trigger words |
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You should use `decorativerelief art style` 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](/geocine/decorative-relief/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('geocine/decorative-relief', weight_name='lora_64_1700steps.safetensors') |
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image = pipeline('decorativerelief art style').images[0] |
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``` |
