New Journey Art Flux

🚀 New-Journey-Art

New-Journey-Art is a text - to - image model based on LoRA and Diffusers, which can generate various vivid and interesting images according to text prompts.

🚀 Quick Start

Installation and Setup

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "strangerzonehf/New-Journey-Art-Flux "
trigger_word = "New Journey Art"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Trigger Image Generation

You should use New Journey Art to trigger the image generation.

✨ Features

• Rich Image Generation: Capable of generating a wide variety of images, such as paintings of cats, rocket launches, people in front of buildings, and cartoon cats in space, based on different text prompts.
• Flexible Parameter Settings: Allows users to adjust multiple image processing parameters for better results.

📦 Installation

The installation process is included in the quick start section. You need to import necessary libraries and load the base model and LoRA weights.

💻 Usage Examples

Basic Usage

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "strangerzonehf/New-Journey-Art-Flux "
trigger_word = "New Journey Art"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

# Generate an image
text_prompt = 'New Journey Art – A medium - sized painting of a cat sitting on a wooden table. The cat has white and orange fur, with green eyes staring at a small blue butterfly hovering above its head. The background features a light gray wall with a potted plant on the left side. The sunlight from a nearby window casts a soft shadow of the cat onto the table.'
image = pipe(text_prompt).images[0]
image.save("generated_image.png")

📚 Documentation

Model Information

Image Processing Parameters

Labeling

Labeling: florence2 - en(natural language & English)

Total Images Used for Training

Total Images Used for Training : 24

Best Dimensions & Inference

Inference Range

• Recommended Inference Steps: 30–35

📄 License

This model is under the flux-1-dev-non-commercial-license. You can view the full license details here.

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.