How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AItool/diva-protagonist", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

diva-protagonist on Stable Diffusion via Dreambooth

This your the Stable Diffusion model fine-tuned the diva-protagonist concept taught to Stable Diffusion with Dreambooth. It can be used by modifying the instance_prompt: **<diva-protagonist> woman

Prompt suggestion: a <diva-protagonist> on a black and white movie

You can also train your own concepts and upload them to the library by using this notebook. And you can run your new concept via diffusers: Colab Notebook for Inference, Spaces with the Public Concepts loaded

Here are the images used for training this concept: image 0 image 1

Here are two outputs: image 2 image 3

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