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---
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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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tags:
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- flux
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- diffusers
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- lora
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base_model: "black-forest-labs/FLUX.1-dev"
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pipeline_tag: text-to-image
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instance_prompt: Zoe
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---
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# Zoe_Flux
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Trained on Replicate using:
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https://replicate.com/ostris/flux-dev-lora-trainer/train
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## Trigger words
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You should use `tugce` to trigger the image generation.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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# Modeli yükleyin
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
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# LoRA ağırlıklarını yükleyin
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pipeline.load_lora_weights('codermert/model_malika', weight_name='sarah-lora-000001.safetensors')
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# Prompt'unuzu ve istediğiniz boyutları belirleyin
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prompt = "bikini girl, home"
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height = 512 # İstediğiniz yükseklik
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width = 768 # İstediğiniz genişlik
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# Resmi oluşturun
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image = pipeline(prompt, height=height, width=width).images[0]
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# Resmi kaydedin
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image.save("custom_size_image.png")
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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