Instructions to use Napol3/fempovmodel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Napol3/fempovmodel1 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("Napol3/fempovmodel1") prompt = "A high-fashion cinematic shot of femalepovmodel1 wearing a neon-lit cyberpunk outfit, standing amidst the rainy, glowing streets of a futuristic Tokyo metropolis." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ Napol3/fempovmodel1

- Prompt
- A high-fashion cinematic shot of femalepovmodel1 wearing a neon-lit cyberpunk outfit, standing amidst the rainy, glowing streets of a futuristic Tokyo metropolis.

- Prompt
- A serene, ethereal portrait of femalepovmodel1 dressed in flowing white linen, wandering through a sun-drenched wildflower meadow in the Swiss Alps.

- Prompt
- An intense action close-up of femalepovmodel1 as a gritty wasteland survivor, covered in dust and war paint, standing before a massive rusted scrap-metal fortress.
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 femalepovmodel1 to invoke the concept.
Samples
"A high-fashion cinematic shot of femalepovmodel1 wearing a neon-lit cyberpunk outfit, standing amidst the rainy, glowing streets of a futuristic Tokyo metropolis."
"A serene, ethereal portrait of femalepovmodel1 dressed in flowing white linen, wandering through a sun-drenched wildflower meadow in the Swiss Alps."
"An intense action close-up of femalepovmodel1 as a gritty wasteland survivor, covered in dust and war paint, standing before a massive rusted scrap-metal fortress."
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("Napol3/fempovmodel1")
image = pipe("A high-fashion cinematic shot of femalepovmodel1 wearing a neon-lit cyberpunk outfit, standing amidst the rainy, glowing streets of a futuristic Tokyo metropolis.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for Napol3/fempovmodel1
Base model
krea/Krea-2-Raw

