prithivMLmods
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Update README.md
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README.md
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- diffusers
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- template:diffusion-lora
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widget:
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- text: '-'
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output:
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url: images/
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Modeling of
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license: creativeml-openrail-m
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<Gallery />
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## Trigger words
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You should use `Modeling of` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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- diffusers
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- template:diffusion-lora
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widget:
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- text: 'Modeling of Photo of a woman with long brown hair, wearing a pink sports bra, standing against a plain white background, looking over her shoulder with a serious expression, medium close-up, fair skin, slender physique, small breasts, soft lighting, high quality, jpeg artifacts, no watermark, no text, no tattoos, no piercings, no makeup, no jewelry, no accessories, no background, no shadows, no highlights, no reflections, no lens flare, no bokeh, no depth of field, no blur, no grain, no noise, no compression, no artifacts, no compression artifacts, no noise artifacts, no grain artifacts, no blur artifacts, no depth of field artifacts, no highlights artifacts, no shadows artifacts, no lens flare artifacts, no reflections artifacts'
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output:
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url: images/MO1.png
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- text: 'Modeling fashion photograph of a model posing minimalist set, model is styled in a streetwear yet chic outfit consisting of a over-fit grey sweat-shirt tucked into dark olive cargo jogger, background is a smooth, crimson, providing a contrast that highlights the outfit, lighting is strong yet directional, accentuating the texture of the fabric and the sleek fit of the pants, emphasize the confidence pose of the model, with hands up behind head, capturing a relaxed yet fashionable streetwear vibe, UHD --ar 9:16 --stylize 500'
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output:
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url: images/MO2.png
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- text: 'Modeling of a bold Japanese hyperrealistic advertising poster features a stunning Asian model with sleek, blonde hair cut in an extraordinary style that frames her angular face. She exudes confidence while wearing modern, oversized coloured baggy jeans paired with a matching loose-fitting top in another colour. The outfit is accentuated with chunky white sneakers and layered gold necklaces, blending street style with effortless chic. She stands in front of a futuristic urban background with neon signs and soft glowing lanterns, set against a sleek cityscape at night. Behind her, cherry blossoms softly fall, contrasting with the modern environment. Bold kanji characters in dynamic, graffiti-like style read âèªç±ãªç¾ - The Freedom of Beautyâ across the top. The posterâs aesthetic merges contemporary fashion with traditional Japanese elements, creating an energetic, youthful vibe.'
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output:
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url: images/MO4.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Modeling of
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license: creativeml-openrail-m
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<Gallery />
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- Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
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**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
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## Model description
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**prithivMLmods/Fashion-Hut-Modeling-LoRA**
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Image Processing Parameters
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| Parameter | Value | Parameter | Value |
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|---------------------------|--------|---------------------------|--------|
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| LR Scheduler | constant | Noise Offset | 0.03 |
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| Optimizer | AdamW | Multires Noise Discount | 0.1 |
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| Network Dim | 64 | Multires Noise Iterations | 10 |
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| Network Alpha | 32 | Repeat & Steps | 26 & 2900|
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| Epoch | 16 | Save Every N Epochs | 1 |
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Labeling: florence2-en(natural language & English)
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Total Images Used for Training : 14 [ Hi-RES ]
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## Best Dimensions
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- 1024 x 1024 (Default)
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## Setting Up
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```
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import torch
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from pipelines import DiffusionPipeline
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base_model = "black-forest-labs/FLUX.1-dev"
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pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
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lora_repo = "prithivMLmods/Fashion-Hut-Modeling-LoRA"
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trigger_word = "Modeling of"
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pipe.load_lora_weights(lora_repo)
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device = torch.device("cuda")
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pipe.to(device)
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```
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## Trigger words
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You should use `Modeling of` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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