WiroAI Flux Models
Collection
WiroAI's plug-and-play image generation models • 30 items • Updated • 3
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("WiroAI/Karina-Flux-LoRA")
prompt = "krnwiro, realistic portrait, a gorgeous woman with black eyes and long dark wavy, wearing a deep green velvet cloak, standing in a mystical forest, soft moonlight illuminating her pale skin, delicate freckles across her nose, gentle smile, ethereal atmosphere, glowing fireflies floating around her"
image = pipe(prompt).images[0]
Model Details
Model Description
This LoRA is trained for anyone who like Karina from Aespa.
- Developed by: [Wiro AI - ML Team]
- Shared by: Wiro AI
- Prompt
- krnwiro, realistic portrait, a gorgeous woman with black eyes and long dark wavy, wearing a deep green velvet cloak, standing in a mystical forest, soft moonlight illuminating her pale skin, delicate freckles across her nose, gentle smile, ethereal atmosphere, glowing fireflies floating around her
- Prompt
- krnwiro, A cute girl with wavy long black hair, wearing headphones and a pastel sweater, sitting in a cozy bedroom with fairy lights.
- Prompt
- krnwiro, A young woman with wavy black hair, wearing a red dress, sitting at a café table with a cup of coffee, looking thoughtful.
Trigger words
You should use krnwiro to trigger the image generation.
Civitai model link: civitai
from diffusers import FluxPipeline
import torch
pipeline = FluxPipeline.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('WiroAI/Karina-Flux-LoRA', weight_name='karina_flux_lora.safetensors')
image = pipeline('krnwiro, A young woman with wavy black hair, wearing a red dress, sitting at a café table with a cup of coffee, looking thoughtful.').images[0]
image.save("output.png")
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Model tree for WiroAI/Karina-Flux-LoRA
Base model
black-forest-labs/FLUX.1-dev