README.md

metadata

license: creativeml-openrail-m
tags:
  - pytorch
  - diffusers
  - stable-diffusion
  - text-to-image
  - diffusion-models-class

Dreambooth model of my cat azzy

model by jefsnacker

This is a Stable Diffusion model fine-tuned on pictures of Azriel with DreamBooth. It can be used by modifying the instance_prompt: photo of azzy cat

This model was created as part of the DreamBooth Hackathon 🔥. Visit the organization page for instructions on how to take part!

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.

Sample Images

12 images of Azriel were used to train the model.

Usage

from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler

pipe = StableDiffusionPipeline.from_pretrained(
    "jefsnacker/azzy", 
    scheduler = DPMSolverMultistepScheduler.from_pretrained("jefsnacker/azzy", subfolder="scheduler"),
    torch_dtype=torch.float16,
).to("cuda")

guidance_scale = 7
prompt = "Cute and adorable cartoon fluffy azzy cat with cap, with yellow eyes, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation" #@param {type:"string"}

images = pipe(prompt, num_images_per_prompt=1, num_inference_steps=50, guidance_scale=guidance_scale).images
image[0]