import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("LoliRimuru/moeFussion", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Furrey/ChildU")
prompt = "<lora:ChildU_Il_v3:1>,childu,1girl,solo,curly hair,red hair,freckles,big eyes,red eyes,glasses,full body,interior,library,sitting,reading a book,study table,âââ"
image = pipe(prompt).images[0]ChildU
- Prompt
- <lora:ChildU_Il_v3:1>,childu,1girl,solo,curly hair,red hair,freckles,big eyes,red eyes,glasses,full body,interior,library,sitting,reading a book,study table,âââ
- Prompt
- <lora:ChildU_Il_v3:1>,childu,1girl,solo,selfie,school estate,blue tuft,big eyes,long hair,blue_eyes,blue hair,black hair,two-tone hair,dark style,greeting gesture,âââ
- Prompt
- <lora:ChildU_Il_v3:1>,childu,1girl,solo,lying down,in bed,interior,sleeping,close-up view while sleeping,cute,pink pajamas,blanket,âââ
Trigger words
You should use childu to trigger the image generation.
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Base model
LoliRimuru/moeFussion