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README.md ADDED
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+ ---
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+ tags:
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+ - text-to-image
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+ - flux
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+ - lora
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+ - diffusers
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+ - template:sd-lora
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+ - ai-toolkit
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+ widget:
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+ - text: a person in a bustling cafe, l3omar, neatly styled hair, well-groomed appearance,
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+ casual fashion, ambient lighting, natural vibe
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+ output:
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+ url: samples/1744792157246__000002000_0.jpg
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+ - text: ' l3omar, a professional man in a corporate headshot, wearing a dark blazer
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+ and white shirt, neutral background, soft studio lighting, realistic style,
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+ sharp focus.'
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+ output:
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+ url: samples/1744792173968__000002000_1.jpg
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+ - text: l3omar, an asian man with neatly styled hair, playing an acoustic guitar
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+ in a bustling cafe, relaxed expression, casual clothes, warm ambient light,
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+ documentary style
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+ output:
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+ url: samples/1744792190651__000002000_2.jpg
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: l3omar
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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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+ ---
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+
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+ # leomarv2-lora
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+ Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
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+ <Gallery />
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+
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+ ## Trigger words
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+
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+ You should use `l3omar` to trigger the image generation.
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+
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+ ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](/lccontillo/leomarv2-lora/tree/main) them in the Files & versions tab.
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
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+ pipeline.load_lora_weights('lccontillo/leomarv2-lora', weight_name='leomarv2-lora.safetensors')
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+ image = pipeline('a person in a bustling cafe, l3omar, neatly styled hair, well-groomed appearance, casual fashion, ambient lighting, natural vibe').images[0]
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+ image.save("my_image.png")
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+ ```
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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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+
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