Instructions to use EnD-Diffusers/finalfantasiespt1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/finalfantasiespt1 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/finalfantasiespt1", dtype=torch.bfloat16, device_map="cuda") prompt = "fntsy1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 80f3c785e80926881a1ea0f9c6b91bef544dce914567100f1b4be9c8c02af080
- Size of remote file:
- 492 MB
- SHA256:
- 5e3dcb1679f0d785f6d6405514aac0755c69737da2b71e2199ca9b2ec7fda63d
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