Novgoranstefanovski

🚀 Stable Diffusion Model Fine-tuned with Dreambooth

This is a Stable Diffusion model fine-tuned on the novgoranstefanovski concept using Dreambooth. It offers a unique way to generate text-to-image results by leveraging the power of Stable Diffusion.

🚀 Quick Start

This Stable Diffusion model has been fine-tuned to learn the novgoranstefanovski concept through Dreambooth. You can utilize it by modifying the instance_prompt(s) such as Robert, retro, Greg, Kim.

✨ Features

• Fine-tuned Concept: The model is fine-tuned on the novgoranstefanovski concept, allowing for specific text-to-image generations.
• Custom Training: You can train your own concepts and upload them to the library using the fast-DreamBooth.ipynb by TheLastBen.
• Multiple Running Methods: Run your new concepts via A1111 Colab: Fast-Colab-A1111 or via diffusers: Colab Notebook for Inference, Spaces with the Public Concepts loaded.

📄 License

• License: creativeml-openrail-m

💻 Usage Examples

Basic Usage

You can use this model by modifying the instance_prompt(s):

# Here you can use the model with specific prompts
# For example, you can use it in a Python script with diffusers library
from diffusers import StableDiffusionPipeline
import torch

model_id = "your_model_path"  # Replace with the actual model path
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "Robert, retro, Greg, Kim"
image = pipe(prompt).images[0]
image.save("output.png")

Sample Pictures

Here are some sample pictures of this concept:

• Kim
• Greg
• retro
• Robert