Robo Diffusion 2 Base

🚀 Robo-Diffusion 2 (base)

A dreambooth-method finetune of stable diffusion that generates cool-looking robots based on text prompts.

🚀 Quick Start

Keep the words nousr robot towards the beginning of your prompt to invoke the finetuned style. Use negative prompts to achieve the best result.

💻 Usage Examples

Basic Usage

import torch
from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler

scheduler = EulerDiscreteScheduler.from_pretrained("nousr/robo-diffusion-2-base", subfolder="scheduler")
pipe = StableDiffusionPipeline.from_pretrained("nousr/robo-diffusion-2-base", scheduler=scheduler, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "A realistic photograph of a 3d nousr robot in a modern city. A glossy white and orange nousr robot."
negative_prompt = "black and white robot, picture frame, a children's drawing in crayon. #Wholesale, Abstract Metal Sculpture. i'm leaving a bad review."
image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=32, guidance_scale=5.0).images[0]

image.save("robo.png")

📚 Documentation

Original Model

Based on stable diffusion 1.4 can be found here

Socials

Use the #robodiffusion so i can see the cool stuff you make!

If you enjoy the model i'd appreciate a follow on twitter

If you are feeling especially generous, you can sponsor me on github

📄 License

The model is released under the "openrail++" license.

⚠️ Important Note

Ensure you have read the license and agree to the terms.