Dreambooth model of my cat azzy
Model by jefsnacker and chel-z
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.
Example Output
Prompt: azzy cat as an anime character in overwatch
Guidance Scale: 7
Seed: 42
Prompt: portrait of azzy cat anthro as a dapper bartender with a big, fluffy tail, retro futurism, art deco, detailed, painterly digital art by wlop and cory loftis and delphin enjolras, 🐿🍸🍋, furaffinity, trending on artstation
Guidance Scale: 9
Seed: 42
Prompt: Portrait painting of a cute azzy cat with armor, ultra realistic, concept art, intricate details, eerie, highly detailed, photorealistic, octane render, 8 k, unreal engine. art by artgerm and greg rutkowski and charlie bowater and magali villeneuve and alphonse mucha
Guidance Scale: 12
Seed: 42
Prompt: Cute and adorable cartoon fluffy azzy cat with cap, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation
Guidance Scale: 7
Seed: 42
Prompt: azzy cat wearing a tuxedo at a wedding
Guidance Scale: 4.5
Seed: 42
Prompt: portrait of azzy cat as the average ai software engineer working at a computer
Guidance Scale: 5
Seed: 42
Prompt: Screenshot of game on ps 4 azzy cat fighting against godzilla character, xp bars, health bars, unreal engine
Guidance Scale: 7
Seed: 42
Prompt: azzy cat swimming underwater
Guidance Scale: 6
Seed: 42
Prompt: photo of azzy cat in a spacesuit
Guidance Scale: 4
Seed: 42
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"
images = pipe(prompt, num_images_per_prompt=1, num_inference_steps=50, guidance_scale=guidance_scale).images
image[0]