import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui")
prompt = "https://huggingface.co/spaces/antonellaavad/LoRA-DreamBooth-Training-UI"
image = pipe(prompt).images[0]LoRA DreamBooth - https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on the instance prompt "https://huggingface.co/spaces/antonellaavad/LoRA-DreamBooth-Training-UI" using DreamBooth. You can find some example images in the following.
Test prompt: https://huggingface.co/spaces/antonellaavad/LoRA-DreamBooth-Training-UI
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Model tree for antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui
Base model
stabilityai/stable-diffusion-2-1-base