ntower
seawolf2357Introduction
The NTOWER model is a text-to-image generation tool that utilizes advanced machine learning techniques to create images based on textual descriptions. It is built upon the FLUX.1-dev base model and employs the LoRA (Low-Rank Adaptation) strategy for enhanced performance. This model is particularly geared towards generating images with specific elements, such as the Namsan Tower in Seoul, South Korea.
Architecture
NTOWER leverages the FLUX.1-dev architecture, a model designed for text-to-image tasks. It incorporates the use of LoRA, which allows for efficient fine-tuning by focusing on low-rank updates to the model's weights. This approach reduces the computational load and increases flexibility in adapting the model to specific tasks or domains.
Training
The model is trained using a combination of advanced machine learning techniques with the capability to fine-tune on specific datasets. It supports text prompts that guide the generation process, utilizing the diffusers library for efficient processing. The training incorporates specific trigger words, such as "namsan tower," to generate contextualized imagery.
Guide: Running Locally
-
Setup Environment:
- Ensure Python and PyTorch are installed.
- Install the diffusers library via pip:
pip install diffusers
-
Download Model Weights:
- Access the model's weights in Safetensors format from the Files & Versions tab on the repository page.
-
Run the Model:
- Use the following Python code snippet to generate images:
from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda') pipeline.load_lora_weights('seawolf2357/ntower', weight_name='ntower.safetensors') image = pipeline('the Namsan Tower in korea seoul, surrounded by trees and buildings. The sky is visible in the background, and there are watermarks on the image. [trigger]').images[0] image.save("my_image.png")
- Use the following Python code snippet to generate images:
-
Consider Using Cloud GPUs:
- For better performance and faster processing, consider using cloud GPU services like AWS, Google Cloud, or Azure.
License
The NTOWER model is provided under the flux-1-dev-non-commercial-license. For full license details, refer to the license document. This license restricts usage to non-commercial purposes.