Instructions to use aipicasso/emi-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aipicasso/emi-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aipicasso/emi-2", torch_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:
- 64310d8363b0c80c54b2719aaa6ee47ccdc67f9838cc988ce25450216958a06f
- Size of remote file:
- 167 MB
- SHA256:
- f93f4691775d586b70969c922c18c5e74db7c3193f1646e1eab7f8587a84bfe3
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