import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("matallanas/ignatiusFarray-person", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of ignatiusFarray person in the Acropolis"
image = pipe(prompt).images[0]DreamBooth model for the ignatiusFarray concept trained by matallanas on the matallanas/dreambooth-dotnet dataset.
This is a Stable Diffusion model fine-tuned on the ignatiusFarray concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of ignatiusFarray person
Description
This is a Stable Diffusion model fine-tuned on person images.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('matallanas/ignatiusFarray-person')
image = pipeline().images[0]
image
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