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--- |
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tags: |
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- text-to-image |
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- stable-diffusion |
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- lora |
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- diffusers |
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- image-generation |
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- flux |
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- safetensors |
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widget: |
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- text: logo,Minimalist,Make a picture of a camera with the word 'Me' |
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output: |
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url: images/73e7db6a33550d05836ce285549de60075d05373c7b0660d631dac33.jpg |
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- text: wablogo, Minimalist, banboo and panda,logo |
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output: |
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url: images/ddcef76ded3c757896813f73ab69525785ac5a3a46e7edad99738726.jpg |
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- text: wablogo, Minimalist, Leaf and cat,logo |
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output: |
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url: images/13a3ce0a23c2059e8d8ac23d61cd577ef6d8fe3d998e4bd92cf140ff.jpg |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: wablogo, logo, Minimalist |
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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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# FLUX.1-dev-LoRA-Logo-Design |
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This is a LoRA (Logo-Design) trained on FLUX.1-dev by [CJim](https://www.shakker.ai/userpage/b43e5cc7fcd64d2bbde42c6e889267cc/publish) on [Shakker AI](https://www.shakker.ai/modelinfo/0355942f9bd140a99e371ba5731894e8?from=personal_page). |
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<div class="container"> |
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<img src="./poster.jpg" width="1024"/> |
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</div> |
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## Showcases |
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<Gallery /> |
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## Trigger words |
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You should use `wablogo, logo, Minimalist` as trigger words. The recommended scale is `0.8` in diffusers. |
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## Usage suggestion |
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- Dual Combination: something and something, e.g., cat and coffee, |
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- Font Combination: a shape plus a letter, e.g., a book with the word "M," or The fingerprint pattern consists of the letters "hp," |
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- Text Below Graphic: Below the graphic is the word "coffee," directly using with the word "XX" is also feasible |
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## Inference |
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```python |
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import torch |
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from diffusers import FluxPipeline |
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pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16) |
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pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design", weight_name="FLUX-dev-lora-Logo-Design.safetensors") |
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pipe.fuse_lora(lora_scale=0.8) |
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pipe.to("cuda") |
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prompt = "logo,Minimalist,A bunch of grapes and a wine glass" |
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image = pipe(prompt, |
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num_inference_steps=24, |
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guidance_scale=3.5, |
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).images[0] |
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image.save(f"example.png") |
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``` |
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## Online Inference |
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You can also download this model at [Shakker AI](https://www.shakker.ai/modelinfo/0355942f9bd140a99e371ba5731894e8?from=personal_page), where we provide an online interface to generate images. |
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## Acknowledgements |
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This model is trained by our copyrighted users [CJim](https://www.shakker.ai/userpage/b43e5cc7fcd64d2bbde42c6e889267cc/publish). We release this model under permissions. The model follows [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). |
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