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README.md
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- stable-diffusion
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- lora
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- diffusers
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widget:
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sketched style,A stick-figure-style robot, and some sci-fi machines, with
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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-Children
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## Trigger words
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Weights for this model are available in Safetensors format.
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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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sketched style,A stick-figure-style robot, and some sci-fi machines, with
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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-Children-Simple-Sketch
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This is a LoRA trained on FLUX.1-dev for Children's Simple-Sketch by [Hongke](https://www.shakker.ai/userpage/b1f1d4128cec474c8085576e6c9fb761/publish) on [Shakker AI](https://www.shakker.ai/modelinfo/eb54f3880dd04cc4b9002d31753a12ec?from=personal_page).
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<div class="container">
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<img src="https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-live-3D/resolve/main/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 `sketched style` to trigger the image generation. The recommended scale is `0.8` 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-Children-Simple-Sketch", weight_name="FLUX-dev-lora-children-simple-sketch.safetensors")
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pipe.fuse_lora(lora_scale=1.5)
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pipe.to("cuda")
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prompt = "sketched style,A joyful girl with balloons floats above a city wearing a hat and striped pants,"
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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 run this model at [Shakker AI](https://www.shakker.ai/modelinfo/eb54f3880dd04cc4b9002d31753a12ec?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 [Hongke](https://www.shakker.ai/userpage/b1f1d4128cec474c8085576e6c9fb761/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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