import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("iskandre/output1")
prompt = "a photo of Haro"
image = pipe(prompt).images[0]LoRA DreamBooth - iskandre/output1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of Haro using DreamBooth. You can find some example images in the following.
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Model tree for iskandre/output1
Base model
runwayml/stable-diffusion-v1-5