--- tags: - text-to-image - lora - diffusers - template:diffusion-lora - realism - portrait widget: - text: >- b1 portrait, Captured at eye-level, a close-up shot captures a young man with curly black hair, wearing a red and navy blue jacket with a white stripe down the front. His jacket is adorned with a black collar and a white logo with a blue letter "F" in the center. Behind him, a young woman in a navy blue and red tank top, also wearing a white hat, is seated on the beach. The background is a sandy beach, with a clear blue sky dotted with white fluffy clouds. output: url: images/1.png - text: >- b1 portrait, A close-up shot of a young Asian woman with brown hair and blue eyes. She is wearing a purple polo shirt with a collar. Her hair is pulled back in a ponytail. Her eyes are blue and her lips are pink. The background is blurred, but it appears to be a grassy field. The sky is gray output: url: images/2.png - text: >- b1 portrait, a young Asian girl with short dark brown hair, wearing a red and green sun hat. She is wearing a blue sleeveless shirt with a yellow stripe down the center of the shirt. The shirt has a blue collar with a black button on it. The girls lips are painted pink. The backdrop is a light blue with white daisy prints on it, adding a pop of color to the scene. output: url: images/3.png - text: >- b1 portrait, a close-up shot captures a young womans face, adorned with a green beanie and a beige cardigan. She is wearing a pair of gold rimmed glasses with a white label that reads "QDUROY" in bold black letters. Her eyes are a piercing blue, her eyebrows are a darker shade of brown, and her lips are a lighter pink. Her hair is a dark brown, adding a pop of color to her face. The background is a stark white, creating a stark contrast to her outfit. output: url: images/4.png - text: >- b1 portrait, Captured at eye-level, a close-up shot of a young woman with long brown hair, wearing a white cap, a white shirt, and a red jacket with black buttons. Her hair is styled in two braids, adding a touch of texture to her face. Her eyes are a piercing blue, and her eyebrows are a darker shade of brown. The background is a light brown, and the womans hair is cascading over her shoulders. output: url: images/5.png - text: >- b1 portrait, a close-up shot of a womans face is angled towards the left side of the frame. The womans eyes are painted in a vibrant shade of yellow, green, and brown, while her lips are painted with white teeth. She is wearing a pair of gold hoop earrings, adding a pop of color to her face. The background is a light blue, and the womans hair is pulled back in a ponytail. output: url: images/6.png base_model: - prithivMLmods/Flux.1-Merged instance_prompt: b1 portrait license: other license_name: flux-1-dev-non-commercial-license license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md new_version: strangerzonehf/Blaze.1-Portrait-Revised --- ![asfsadfsfsedfsef.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/lV-r_htnneLS7UzasDzjI.png) ‎ # **Blaze.1 Portrait Image Fidelity `[ Base Flux.1 Merged ]`** 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. # **Image Processing Parameters** | **Parameter** | **Value** | **Parameter** | **Value** | |---------------------------|-----------------------------------------|---------------------------|------------------------------| | LR Scheduler | Constant | Noise Offset | 0.03 | | Optimizer | AdamW | Multires Noise Discount | 0.1 | | Network Dim | 64 | Multires Noise Iterations | 10 | | Network Alpha | 32 | *Repeat & Steps* | *30 & 38,000*| | *Epoch* | *45* | Save Every N Epochs | 1 | 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. 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)*. # **Dataset Details** 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. Pre-training upscaling techniques were employed to enhance pixel clarity, ensuring superior image fidelity during model inference. Image compression details: - *Minimum compression:* 1.4 MB - *Maximum compression:* 10.1 MB - *Average compression:* 3.2 MB # **Training Infrastructure** Blaze.1 Portrait was trained using state-of-the-art hardware: - *GPU Configuration:* NVIDIA A100 SXM (2x) - *vCPU:* 32 cores - *VRAM:* 160 GB - *RAM:* 250 GB - *Disk Space:* 400 GB - *Network Memory:* High-speed interconnects for efficient data transfer # **Training Runtime** Total machine runtime: *8 hours 14 minutes* # **Trigger Words** To generate images using Blaze.1 Portrait, utilize the trigger phrase: - *b1 portrait* Incorporating this trigger in your prompts ensures optimal model performance and high-quality portrait generation. # **Download Model** Weights for Blaze.1 Portrait are available in Safetensors format. You can download them from the Files & Versions tab using the link below: [Download Blaze.1 Portrait Weights](/strangerzonehf/Blaze.1-Portrait/tree/main) ```bibtex @misc{strangerzonehf2024blaze1, title={Blaze.1 Portrait: High-Quality Realism-Driven Portrait Generation with Flux-Based LoRA Adapter}, author={StrangerzoneHF}, year={2024}, note={public model repository on Hugging Face}, url={https://huggingface.co/strangerzonehf/Blaze.1-Portrait}, model_trainer={@prithivMLmods}, dataset_curator={@prithivMLmods} ```