import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Shero448/melpha")
prompt = "UNICODE\u0000\u0000g\u0000e\u0000n\u0000e\u0000r\u0000a\u0000l\u0000,\u0000h\u0000i\u0000g\u0000h\u0000r\u0000e\u0000s\u0000,\u0000 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000-\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000v\u0000e\u0000r\u0000y\u0000 \u0000a\u0000e\u0000s\u0000t\u0000h\u0000e\u0000t\u0000i\u0000c\u0000,\u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000 \u0000,\u0000b\u0000e\u0000s\u0000t\u0000 \u0000h\u0000a\u0000n\u0000d\u0000s\u0000,\u0000b\u0000e\u0000s\u0000t\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000e\u0000a\u0000s\u0000y\u0000n\u0000e\u0000g\u0000a\u0000t\u0000i\u0000v\u0000e\u0000,\u0000"
image = pipe(prompt).images[0]melpha
- Prompt
- UNICODEgeneral,highres, ultra-detailed,very aesthetic,best quality ,best hands,best eyes,easynegative,
Trigger words
You should use Melpha to trigger the image generation.
You should use yellow_hair to trigger the image generation.
You should use long_hair to trigger the image generation.
You should use light blue_eyes to trigger the image generation.
You should use huge_breasts to trigger the image generation.
You should use glasses to trigger the image generation.
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Model tree for Shero448/melpha
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
Liberata/illustrious-xl-v1.0