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  6. Get the following image.
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  ![example](example.jpg)
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- - diffusers
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- 1. Install libraries (diffusers etc.).
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- ```bash
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- pip install diffusers peft
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- ```
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- 2. Run the following code.
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- ```python
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- import torch
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- from diffusers import FluxPipeline
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-
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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("alfredplpl/flux.1-dev-modern-anime-lora", weight_name="modern-anime-lora.safetensors")
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- pipe=pipe.to("cuda")
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-
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- prompt = "modern anime style, An anime girl holding a sword. She is wearing school uniform. She is saying \"Hello World\" with the speech bubble."
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- image = pipe(
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- prompt,
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- height=1344,
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- width=768,
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- guidance_scale=3.5,
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- output_type="pil",
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- num_inference_steps=50,
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- max_sequence_length=512,
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- generator=torch.Generator(device="cuda").manual_seed(0),
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- joint_attention_kwargs={"scale": 1.0}
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- ).images[0]
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- image.save("flux-dev.png")
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- ```
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-
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  ### Examples
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  **Please use ChatGPT or Claude to make a prompt!**
 
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  6. Get the following image.
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  ![example](example.jpg)
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  ### Examples
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  **Please use ChatGPT or Claude to make a prompt!**