import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/asoon-dreambooth-sd-model", dtype=torch.bfloat16, device_map="cuda")
prompt = "asoon"
image = pipe(prompt).images[0]Asoon Dreambooth SD Model Dreambooth model trained by AlekseyCalvin with Hugging Face Dreambooth Training Space with the v2-1-768 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:
To generate custom images of my primary public self – one known as A.C.T. SOON® – use "asoon" or "asoon person" in your Stable Diffusion prompt (implemented via this model only). Checkpoints herein trained based on SD 2.1.
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