import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("heine123/xiaoxin_out")
prompt = "a photo of xiaoxin boy,Thick and black eyebrows, round eyes, chubby and cute cheeks, very adorable, a Japanese cartoon little boy of around 4 years old"
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" with value "/home/ubuntu/model/stable-diffusion-v1-4" is not valid. Use a model id from https://hf.co/models.
LoRA DreamBooth - heine123/xiaoxin_out
These are LoRA adaption weights for /home/ubuntu/model/stable-diffusion-v1-4. The weights were trained on a photo of xiaoxin boy,Thick and black eyebrows, round eyes, chubby and cute cheeks, very adorable, a Japanese cartoon little boy of around 4 years old using DreamBooth. You can find some example images in the following.
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