How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("calcuis/illustrious", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Heliosxz/Sweetvalentine")

prompt = "perfect quality,best quality,absolutely eye-catching,ambient occlusion,raytracing BREAK 1girl,<lora:purisisu barenntainn IL v1.1:1>,barenntainn,hat,green eyes,hat ornament,hoodie,black shirt,thigh strap,colorful,, dynamic_angle,medium_shot,kneeling,claw_pose,hands_on_hips,knees_to_chest,"
image = pipe(prompt).images[0]

sweetprecis

Prompt
perfect quality,best quality,absolutely eye-catching,ambient occlusion,raytracing BREAK 1girl,<lora:purisisu barenntainn IL v1.1:1>,barenntainn,hat,green eyes,hat ornament,hoodie,black shirt,thigh strap,colorful,, dynamic_angle,medium_shot,kneeling,claw_pose,hands_on_hips,knees_to_chest,
Negative Prompt
lowres,(bad),bad anatomy,bad hands,extra digits,multiple views,fewer,extra,missing,text,error,worst quality,jpeg artifacts,low quality,watermark,unfinished,displeasing,oldest,early,chromatic aberration,signature,artistic error,username,scan,

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