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README.md
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- lora
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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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instance_prompt: b1 portrait
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license:
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---
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# prithivMLmods/Blaze.1-Portrait-Revised
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<Gallery />
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Weights for this model are available in Safetensors format.
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- lora
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- diffusers
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- template:diffusion-lora
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- realism
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- portrait
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widget:
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- text: >-
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b1 portrait, Captured at eye-level, a close-up shot captures a young man
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with curly black hair, wearing a red and navy blue jacket with a white
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stripe down the front. His jacket is adorned with a black collar and a white
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logo with a blue letter "F" in the center. Behind him, a young woman in a
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navy blue and red tank top, also wearing a white hat, is seated on the
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beach. The background is a sandy beach, with a clear blue sky dotted with
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white fluffy clouds.
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output:
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url: images/1.png
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- text: >-
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b1 portrait, A close-up shot of a young Asian woman with brown hair and blue
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eyes. She is wearing a purple polo shirt with a collar. Her hair is pulled
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back in a ponytail. Her eyes are blue and her lips are pink. The background
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is blurred, but it appears to be a grassy field. The sky is gray
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output:
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url: images/2.png
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- text: >-
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b1 portrait, a young Asian girl with short dark brown hair, wearing a red
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and green sun hat. She is wearing a blue sleeveless shirt with a yellow
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stripe down the center of the shirt. The shirt has a blue collar with a
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black button on it. The girls lips are painted pink. The backdrop is a light
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blue with white daisy prints on it, adding a pop of color to the scene.
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output:
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url: images/3.png
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- text: >-
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b1 portrait, a close-up shot captures a young womans face, adorned with a
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green beanie and a beige cardigan. She is wearing a pair of gold rimmed
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glasses with a white label that reads "QDUROY" in bold black letters. Her
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eyes are a piercing blue, her eyebrows are a darker shade of brown, and her
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lips are a lighter pink. Her hair is a dark brown, adding a pop of color to
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her face. The background is a stark white, creating a stark contrast to her
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outfit.
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output:
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url: images/4.png
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- text: >-
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b1 portrait, Captured at eye-level, a close-up shot of a young woman with
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long brown hair, wearing a white cap, a white shirt, and a red jacket with
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black buttons. Her hair is styled in two braids, adding a touch of texture
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to her face. Her eyes are a piercing blue, and her eyebrows are a darker
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shade of brown. The background is a light brown, and the womans hair is
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cascading over her shoulders.
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output:
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url: images/5.png
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- text: >-
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b1 portrait, a close-up shot of a womans face is angled towards the left
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side of the frame. The womans eyes are painted in a vibrant shade of yellow,
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green, and brown, while her lips are painted with white teeth. She is
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wearing a pair of gold hoop earrings, adding a pop of color to her face. The
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background is a light blue, and the womans hair is pulled back in a
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ponytail.
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output:
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url: images/6.png
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base_model:
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- prithivMLmods/Flux.1-Merged
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instance_prompt: b1 portrait
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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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<Gallery />
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# **Blaze.1 Portrait Image Fidelity `[ Base Flux.1 Merged ]`**
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Blaze.1 Portrait is a flux-based adapter designed to generate high-quality, realism-driven super-portraits. This advanced model underwent rigorous training using a diverse set of images to ensure exceptional output in portrait generation. With 72 variations and a total of 1080 images per variation, the training process involved meticulous curation and processing of 14-bit raw Camera Uncompressed Format (CUF) images. For comprehensive insights, refer to the detailed documentation on training procedures, data curation, and parameter optimization.
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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* | *<span style="color:orangered">30 & 38,000</span>*|
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| *Epoch* | *<span style="color:orangered">45</span>* | Save Every N Epochs | 1 |
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The model was trained with an overall image count of 1080 images, repeated across variations to create a total dataset of 1100 repetition per image.
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Training was conducted for 4 epochs per set, resulting in a cumulative total of 38,000 steps, with the image labeler *Florence2-en (natural language & English)*.
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# **Dataset Details**
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The dataset consists of highly realistic images, meticulously curated for optimal model performance. Smaller adapter versions were initially trained on batches, and high-resolution images were later generated from these adapters for further training.
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Pre-training upscaling techniques were employed to enhance pixel clarity, ensuring superior image fidelity during model inference.
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Image compression details:
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- *Minimum compression:* 1.4 MB
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- *Maximum compression:* 10.1 MB
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- *Average compression:* 3.2 MB
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# **Training Infrastructure**
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Blaze.1 Portrait was trained using state-of-the-art hardware:
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- *GPU Configuration:* NVIDIA A100 SXM (2x)
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- *vCPU:* 32 cores
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- *VRAM:* 160 GB
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- *RAM:* 250 GB
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- *Disk Space:* 400 GB
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- *Network Memory:* High-speed interconnects for efficient data transfer
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# **Training Runtime**
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Total machine runtime: *<span style="color:orangered">8 hours 14 minutes</span>*
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# **Trigger Words**
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To generate images using Blaze.1 Portrait, utilize the trigger phrase:
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- *<span style="color:orangered">b1 portrait</span>*
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Incorporating this trigger in your prompts ensures optimal model performance and high-quality portrait generation.
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# **Download Model**
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Weights for Blaze.1 Portrait are available in Safetensors format. You can download them from the Files & Versions tab using the link below:
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[Download Blaze.1 Portrait Weights](/strangerzonehf/Blaze.1-Portrait/tree/main)
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```bibtex
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@misc{strangerzonehf2024blaze1,
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title={Blaze.1 Portrait: High-Quality Realism-Driven Portrait Generation with Flux-Based LoRA Adapter},
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author={StrangerzoneHF},
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year={2024},
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note={public model repository on Hugging Face},
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url={https://huggingface.co/strangerzonehf/Blaze.1-Portrait},
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model_trainer={@prithivMLmods},
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dataset_curator={@prithivMLmods}
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```
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