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README.md
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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 man, gold hair, white T-shirt. The background is 4 real photos, and
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in the middle is a cartoon picture summarizing the real photos.
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output:
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url: b4425607370dcaa80717519f157a64436dd92238dc60786639845551.jpg
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- text: >-
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A panda.The background is 4 real photos, and in the middle is a cartoon
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picture summarizing the real photos.
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output:
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url: f2cc649985648e57b9b9b14ca7a8744ac8e50d75b3a334ed4df0f368.jpg
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- text: >-
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A young girl, red hair, blue dress. The background is 4 real photos, and in
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the middle is a cartoon picture summarizing the real photos.
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output:
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url: 9104a1e9c1debdb1188c06a5e07bf4a084f0d8005e082f01f8de7c19.jpg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: >-
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The background is 4 real photos, and in the middle is a cartoon picture
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summarizing the real photos
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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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language:
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- en
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library_name: diffusers
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---
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# FLUX.1-dev-LoRA-One-Click-Creative-Template
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This is a LoRA trained on FLUX.1-dev by [Nvwa_model_studio](https://www.shakker.ai/userpage/cd65d71ff6a74bbfaaeba0b898dbf856/publish) for creative photos.
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<div class="container">
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<img src="./poster.jpeg" 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 `The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos.` to trigger the image generation. The recommended scale is `1.0` 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-One-Click-Creative-Template", weight_name="FLUX-dev-lora-One-Click-Creative-Template.safetensors")
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pipe.fuse_lora(lora_scale=1.0)
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pipe.to("cuda")
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prompt = "A young girl, red hair, blue dress. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos."
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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=960, height=1280,
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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/16681dcf76e7447a83731c02eb4f4efe?from=personal_page), where we provide an online interface to generate images.
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<div class="container">
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<img src="./workflow.png" width="1024"/>
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</div>
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We also provide an [online ComfyUI workflow](https://www.shakker.ai/modelinfo/c81474e2a6fc40cb9c26a7f4a3b7d691/Generate-interesting-sticker-avatars-with-one-click?from=search) (Click Run Model) that accepts user-uploaded images to generate images
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## Acknowledgements
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This model is trained by our copyrighted users [Nvwa_model_studio](https://www.shakker.ai/userpage/cd65d71ff6a74bbfaaeba0b898dbf856/publish). We release this model under permissions.
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