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 Settings
- Draw Things
- DiffusionBee
| 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 | |
| <Gallery /> | |
| ## 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 | |
| ## I'm an independent model and workflow developer. If you like my work and want to support independent development, please consider buying me a cup of coffee to keep this motivation going! Thank you very much. | |
| [support me](https://www.patreon.com/posts/welcome-to-my-ai-151306281?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link) 🫡 May the AI-power be with you, see you soon !🫡 |