import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("minaj546/nickiminaj")
prompt = "ASCII\u0000\u0000\u0000photo of (ohwx woman) as Wednesday Adamas, wearing gothic clothes, braided pigtails, in a castle, sharp focus, looking at the camera, makeup, cinematic look, <lora:NickiMinaj-000007:1>"
image = pipe(prompt).images[0]Nicki Minaj SDXL LoRA
- Prompt
- ASCIIphoto of (ohwx woman) as Wednesday Adamas, wearing gothic clothes, braided pigtails, in a castle, sharp focus, looking at the camera, makeup, cinematic look, <lora:NickiMinaj-000007:1>
- Negative Prompt
- cleavage, nsfw
Model description
Most images were on DreamShaper XL A2 in A1111/ComfyUI. Hi-res fix with R-ESRGAN (1.25) and 0.2-0.4 denoising strength. Upscaled using "4x_NickelbackFS_72000_G" or "4x_NMKD-Siax_200k
Trigger words
You should use ohwx woman to trigger the image generation.
You should use ohwx to trigger the image generation.
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Base model
stabilityai/stable-diffusion-xl-base-1.0