import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("tzvc/benjamincode", dtype=torch.bfloat16, device_map="cuda")
prompt = "sdcid"
image = pipe(prompt).images[0]benjamincode Dreambooth model trained by tzvc with Hugging Face Dreambooth Training Space with the v1-5 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:
sdcid (use that on your prompt)
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