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- README.md +64 -0
- ad-saree-2.safetensors +3 -0
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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 woman wearing a saree in a white living room
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output:
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url: samples/1728503599653__000001000_0.jpg
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- text: 'A woman wearing a saree GHMSJK standing stylishly in front of an empty
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cafe in pairs '
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output:
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url: samples/1728503623163__000001000_1.jpg
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- text: The image features a woman wearing a vibrant yellow saree with intricate
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floral embroidery. The saree is adorned with a variety of flowers in shades
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of pink, orange, and green, creating a lively and colorful pattern. The border
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of the saree is embellished with small, delicate beads and sequins, adding
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a touch of sparkle. The saree is draped elegantly, with the pallu (the end
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of the saree) flowing gracefully. The woman is standing in a side profile,
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allowing a clear view of the saree's design and detailing. The background
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is a neutral, textured wall, which contrasts with the bright colors of the
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saree, making it stand out. The camera angle is slightly elevated, capturing
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the full length of the saree and the person's upper body. The overall composition
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highlights the intricate craftsmanship and vibrant colors of the saree. GHMSJK
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output:
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url: samples/1728503646691__000001000_2.jpg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: GHMSJK
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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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# ad-saree-2
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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 `GHMSJK` 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](/histin116/ad-saree-2/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('histin116/ad-saree-2', weight_name='ad-saree-2.safetensors')
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image = pipeline('A woman wearing a saree in a white living room').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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