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--- |
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tags: |
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- text-to-image |
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- lora |
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- diffusers |
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- flux-diffusion |
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widget: |
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- text: "a red Nissan GTR R35 in a rainy city scene" |
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- text: "a futuristic neon-lit city with cars flying in the background" |
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- text: "a cyberpunk-inspired motorcycle speeding through a glowing tunnel" |
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base_model: |
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- black-forest-labs/FLUX.1-dev |
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instance_prompt: "a {subject} in a {scene}" |
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pipeline_tag: text-to-image |
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library_name: diffusers |
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metrics: |
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- FID |
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license: creativeml-openrail-m |
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--- |
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# Xena |
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<Gallery /> |
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## Model description |
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Xena is a model based on the **FLUX 1.0** diffusion model, fine-tuned for creating high-quality, realistic, and futuristic automotive and cyberpunk-style images. It incorporates the **Midjourney FLUX LoRA** for enhanced detail and flexibility when generating artistic and hyper-realistic outputs. |
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The model excels in creating vivid scenes with cars, motorcycles, or urban landscapes in neon-lit or rainy settings. You can combine this LoRA with others for more creative results. |
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--- |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download them here](https://huggingface.co/Xena18284/Test123/tree/main). |
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--- |
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## How to Use |
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from diffusers import StableDiffusionPipeline |
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from safetensors.torch import load_file |
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# Load the base pipeline |
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pipe = StableDiffusionPipeline.from_pretrained("Xena18284/Xena") |
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# Load both LoRA weights |
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pipe.load_lora_weights("aidmaMJ61-FLUX-v05.safetensors") # Midjourney to Flux |
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pipe.load_lora_weights("racing_car_style_v1.safetensors") # Racing Car Style |
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# Generate an image |
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prompt = "A futuristic racing car on a neon-lit street, ultra-detailed, cyberpunk" |
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image = pipe(prompt).images[0] |
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image.save("output.png") |
