Instructions to use EnD-Diffusers/finalfantasypt3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/finalfantasypt3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/finalfantasypt3", dtype=torch.bfloat16, device_map="cuda") prompt = "ftnadusk3" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- b57f2a8ad0181de65d55e3a9931be3f7d78c30add27c4f7952866511779a1b2f
- Size of remote file:
- 492 MB
- SHA256:
- 19a4bf663d0117b69644cc3939806569f420b5113f99df1eeba83be81ed1a592
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.