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("shait7999/haruka_amami_lora")
prompt = "(((pixel-perfect, detail-perfect))), solo, 1girl, <lora:haruka-idolmaster:0.8>, haruka amami, yellow ribbons, red coat, scarf, looking at viewer, smile, :d"
image = pipe(prompt).images[0]Haruka_Amami
.png)
- Prompt
- (((pixel-perfect, detail-perfect))), solo, 1girl, <lora:haruka-idolmaster:0.8>, haruka amami, yellow ribbons, red coat, scarf, looking at viewer, smile, :d
- Negative Prompt
- extra fingers, fewer fingers, bad-hands-5, by bad-artist, (bad eyes:1.2), (misfigured pupils:1.2), (bad clothing:1.3), (undetailed clothing:1.3), ng_deepnegative_v1_75t, verybadimagenegative_v1.3, (nonsensical backrounds:1.2), (bad backrounds:1.2), (bad shadows:1.2), (bad anatomy:1.1),
Trigger words
You should use haruka amami to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for shait7999/haruka_amami_lora
Base model
runwayml/stable-diffusion-v1-5