3d Station Toon

🚀 3d station toon

This is a text - to - image model based on LoRA and Diffusers, which can generate 3D station toon style images.

🚀 Quick Start

Environment 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/3d-Station-Toon"
trigger_word = "3d station toon"  
pipe.load_lora_weights(lora_repo)

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

Image Generation

You should use 3d station toon to trigger the image generation.

✨ Features

• Text - to - Image: Generate 3D station toon style images according to text descriptions.
• Model Adaptability: Based on the black-forest-labs/FLUX.1-dev base model, using LoRA technology for adaptation.

📦 Installation

The code example above shows how to load the model and set up the environment. You need to ensure that the torch and pipelines libraries are installed.

💻 Usage Examples

Basic Usage

The following is an example of setting up the environment and triggering image generation:

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/3d-Station-Toon"
trigger_word = "3d station toon"  
pipe.load_lora_weights(lora_repo)

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

# Here you can add code to generate images according to text

Advanced Usage

You can adjust the image generation parameters according to your needs, such as the number of inference steps.

# Assume pipe is already set up
prompt = "3d station toon, a beautiful scene"
image = pipe(prompt, num_inference_steps=32).images[0]
image.save("generated_image.png")

📚 Documentation

Model Description