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:
- 482320050a5bc745a5eeca36c590478965b48986d545934f1fb4b37e875b256e
- Size of remote file:
- 2.13 GB
- SHA256:
- a7edba7da2d0b3944dbb1c512b3f7dd10398bafe9d4d23aba1ad6a8819047678
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