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:
- d3a1ad29f72b97a4657972c52678528d1727741a8f59d89db6aec5b5b02eca19
- Size of remote file:
- 3.44 GB
- SHA256:
- a4237c8df50486d51c31c1d94bbcba7c6dd0e5cc531788d165d7f182c993c1f0
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