Instructions to use perion/perionv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use perion/perionv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("perion/perionv2", 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:
- d9c60ef30d56f649bf23c4c8fbffe210f8c81576314776c7d2344ba0755bd97f
- Size of remote file:
- 492 MB
- SHA256:
- fbd5a9dc0bb26df5d4d807ad26faf68faa69ccded418af47deda88d6297f473f
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