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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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- 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 romantic newlywed couple in elegant wedding attire, standing on a picturesque
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beach at sunset. The bride wears a flowing white gown, and the groom is in
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a classic black tuxedo. Soft golden light illuminates their faces as they
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gaze lovingly into each other's eyes. Gentle waves and a colorful sky in the
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background w3gyy
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output:
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url: samples/1726253238947__000001000_0.jpg
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- text: An intimate forest wedding scene with a bride and groom. The bride wears
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a bohemian-style lace dress, while the groom is in a light gray suit. They
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stand hand in hand beneath an arch of wildflowers and fairy lights. Sunlight
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filters through the lush green canopy, creating a magical atmosphere of w3gyy
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output:
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url: samples/1726253342944__000001000_1.jpg
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- text: A stylish urban wedding portrait of a couple on a rooftop garden. The bride
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wears a modern, sleek wedding dress, and the groom is in a navy blue suit.
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They pose against the backdrop of a city skyline at dusk, with twinkling lights
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and skyscrapers visible. Potted plants and string lights decorate the rooftop,
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adding a touch of romance to the metropolitan setting of w3gyy.
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output:
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url: samples/1726253446745__000001000_2.jpg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: w3gyy
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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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# ygyg-wed
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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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## Trigger words
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You should use `w3gyy` to trigger the image generation.
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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Weights for this model are available in Safetensors format.
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[Download](/cctuan/ygyg-wed/tree/main) them in the Files & versions tab.
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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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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
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pipeline.load_lora_weights('cctuan/ygyg-wed', weight_name='ygyg-wed')
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image = pipeline('A romantic newlywed couple in elegant wedding attire, standing on a picturesque beach at sunset. The bride wears a flowing white gown, and the groom is in a classic black tuxedo. Soft golden light illuminates their faces as they gaze lovingly into each other's eyes. Gentle waves and a colorful sky in the background w3gyy').images[0]
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image.save("my_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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samples/1726253238947__000001000_0.jpg
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samples/1726253342944__000001000_1.jpg
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samples/1726253446745__000001000_2.jpg
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ygyg-wed.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c825fa8af00ca49b59faac3d56168d45add0d69e5739ecd241f39a323220aa1
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size 171969392
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