import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Laughify/sonic06-diffusion", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Sonic06-Diffusion on Stable Diffusion via Dreambooth trained on the fast-DreamBooth.ipynb by TheLastBen notebook
Model by Laughify
This is a fine-tuned Stable Diffusion model trained on screenshots from Sonic The Hedgehog 2006 game. Use saisikwrd in your prompts for the effect. A4FD8847-3EFF-4770-BDDA-A9404B5D436E.png, EDCBECAC-0116-4170-8A43-16F2F8FCC119.png, 815527F3-1658-4655-B0A9-6F0C73CED7D7.png
You can also train your own concepts and upload them to the library by using the fast-DremaBooth.ipynb by TheLastBen.
You can run your new concept via A1111 Colab :Fast-Colab-A1111
Or you can run your new concept via diffusers: Colab Notebook for Inference, Spaces with the Public Concepts loaded
Sample pictures of this concept:
815527F3-1658-4655-B0A9-6F0C73CED7D7.png
EDCBECAC-0116-4170-8A43-16F2F8FCC119.png
A4FD8847-3EFF-4770-BDDA-A9404B5D436E.png
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