Instructions to use akoyaki/ponynai3_v6_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akoyaki/ponynai3_v6_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("akoyaki/ponynai3_v6_diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f34ef9caf172f76f6c197654f376f46e8fdff414c7a12082558f530f390dd250
- Size of remote file:
- 492 MB
- SHA256:
- cbb09120bbb38df9a39f6a4864ba632044ddeb8a4028ef7ec62b8ecbd2562d96
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