Instructions to use NO8D/PhotoStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/PhotoStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NO8D/PhotoStyle") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: rgthree.compare._temp_hgdso_00003_.png
text: '-'
base_model: wikeeyang/Flux2-Klein-9B-True-V2
instance_prompt: null
license: other
license_name: flux-1-dev-non-commercial-license
license_link: LICENSE
Imaging_control

- Prompt
- -
imaging control
This is a collection of Slider - LORAs that control the photography style, focusing on helping you easily create a controllable visual style. The weight usually ranges from 0 to 6. The higher the weight, the more obvious the visual stylization.
polaroid: Control the polaroid-style by adjusting weights.
disposable-camera
cctv
lomo
VHS
Continuously updating
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