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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: >- |
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a young college student, walking on the street, campus background, |
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photography |
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output: |
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url: images/2f82e6b1e5969d70a9044c19975bcdcca06b0f251d14f9c2c6095fa6.jpg |
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- text: a young woman, New York City |
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output: |
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url: images/340c1ae6709f56f3d8176848653dcade93d2b5b8ade662da167ef818.jpg |
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- text: >- |
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happy stunning girl with long dark hair, wearing blue clothes, playing |
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guitar, a beautiful field of flowers, colorful flowers everywhere, hills in |
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the background |
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output: |
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url: images/ec9a40eed46e8d17d3db1560a6543c6e6be9ebe1e41ecd5d137c01e0.jpg |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: null |
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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-AntiBlur |
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This is a functional LoRA trained on FLUX.1-dev for deep DoF (Anti-Blur🔥) by [Vadim_Fedenko](https://www.shakker.ai/userpage/1f90018d803d4045b8dec4d627915098/publish) on [Shakker AI](https://www.shakker.ai/modelinfo/5c3fa3f1d5034e63be325196eae0b4f6?from=search). |
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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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## Comparison |
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<div class="container"> |
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<img src="./comparison1.png" width="1024"/> |
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</div> |
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<div class="container"> |
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<img src="./comparison2.png" width="1024"/> |
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</div> |
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## Trigger words |
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The trigger word is not required. The recommended scale is `1.0` to `1.5` in diffusers. |
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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-AntiBlur", weight_name="FLUX-dev-lora-AntiBlur.safetensors") |
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pipe.fuse_lora(lora_scale=1.5) |
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pipe.to("cuda") |
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prompt = "a young college student, walking on the street, campus background, photography" |
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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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width=768, height=1024, |
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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 run this model at [Shakker AI](https://www.shakker.ai/modelinfo/5c3fa3f1d5034e63be325196eae0b4f6?from=search), 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 [Vadim_Fedenko](https://www.shakker.ai/userpage/1f90018d803d4045b8dec4d627915098/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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