Instructions to use ARGaldor/npswoman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ARGaldor/npswoman with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ARGaldor/npswoman") prompt = "A cinematic wide shot of an npswoman in a futuristic neon-lit Tokyo street, wearing a holographic raincoat under a pouring midnight rain." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ ARGaldor/npswoman

- Prompt
- A cinematic wide shot of an npswoman in a futuristic neon-lit Tokyo street, wearing a holographic raincoat under a pouring midnight rain.

- Prompt
- A serene oil painting of an npswoman reading an ancient leather book in a sun-drenched Mediterranean garden filled with blooming bougainvillea.

- Prompt
- A high-fashion editorial photo of an npswoman posing in a sculptural metallic gown amidst the stark, white salt flats of Bolivia under a deep blue sky.
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Trigger
Use the token npswoman to invoke the concept.
Samples
"A cinematic wide shot of an npswoman in a futuristic neon-lit Tokyo street, wearing a holographic raincoat under a pouring midnight rain."
"A serene oil painting of an npswoman reading an ancient leather book in a sun-drenched Mediterranean garden filled with blooming bougainvillea."
"A high-fashion editorial photo of an npswoman posing in a sculptural metallic gown amidst the stark, white salt flats of Bolivia under a deep blue sky."
Use it with diffusers
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("ARGaldor/npswoman")
image = pipe("A cinematic wide shot of an npswoman in a futuristic neon-lit Tokyo street, wearing a holographic raincoat under a pouring midnight rain.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for ARGaldor/npswoman
Base model
krea/Krea-2-Raw

