Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
lora
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("pareesa/model-lora")
prompt = "Dog over the moon"
image = pipe(prompt).images[0]LoRA DreamBooth - pareesa/model-lora
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on Dog over the moon using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
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stabilityai/stable-diffusion-2-1-base


