Instructions to use PrunaAI/p-image-photos-classic-film-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PrunaAI/p-image-photos-classic-film-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PrunaAI/p-image-photos-classic-film-lora") prompt = "t3chnic4lly A couple dancing in a ballroom with soft lighting and period costumes." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- ec32a2925bc460a4644381b3506d75bd26477e0f3f07074776044c36d517f857
- Size of remote file:
- 259 kB
- SHA256:
- 50dc9824ffc092b2df92af648172456db8fe6c24cd2d49844a037f7e54950014
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.