Instructions to use Squirz/phase2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squirz/phase2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Squirz/phase2", 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:
- 9b26293428e2d289f1107318d5b477debf8086020f1e721d9a60dba50b5de165
- Size of remote file:
- 246 MB
- SHA256:
- 84fd6e31bcbe00f85c392151d68be81fbc5f0282f52998ce764ab926e66a0d43
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