---
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}
```