import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Sanvean/clpbug", dtype=torch.bfloat16, device_map="cuda")
prompt = "clpbug"
image = pipe(prompt).images[0]clpbug Dreambooth model trained by Sanvean with Hugging Face Dreambooth Training Space with the None base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:
clpbug (use that on your prompt)
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