Instructions to use effec/clpn_nbstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use effec/clpn_nbstyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DeverStyle/Flux.2-Klein-Loras", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("effec/clpn_nbstyle") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Z__.jpeg
text: '-'
- output:
url: images/Z__.jpeg
text: '-'
base_model: DeverStyle/Flux.2-Klein-Loras
instance_prompt: >-
clpn_nbstyle clpn_nbstyle, experimental black and white analog photography,
heavy optical blur, out of focus, extreme contrast, blown highlights, deep
shadows, halation, strong film grain, dust, degraded photographic print,
ghostly soft rendering
license: apache-2.0
clpn_nbstyle

- Prompt
- -

- Prompt
- -
Model description
à partir de sans titre pour l'instant, le NB
Trigger words
You should use clpn_nbstyle clpn_nbstyle to trigger the image generation.
You should use experimental black and white analog photography to trigger the image generation.
You should use heavy optical blur to trigger the image generation.
You should use out of focus to trigger the image generation.
You should use extreme contrast to trigger the image generation.
You should use blown highlights to trigger the image generation.
You should use deep shadows to trigger the image generation.
You should use halation to trigger the image generation.
You should use strong film grain to trigger the image generation.
You should use dust to trigger the image generation.
You should use degraded photographic print to trigger the image generation.
You should use ghostly soft rendering to trigger the image generation.
Download model
Download them in the Files & versions tab.