pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CoWork/customsd21512withwine", dtype=torch.bfloat16, device_map="cuda")
prompt = "w567i678t678h678f456a5678i789t678h"
image = pipe(prompt).images[0]customsd21512withwine Dreambooth model trained by faalbane with Hugging Face Dreambooth Training Space with the v2-1-512 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:
w567i678t678h678f456a5678i789t678h (use that on your prompt)
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# Gated model: Login with a HF token with gated access permission hf auth login