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", 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
- Draw Things
- DiffusionBee

- Xet hash:
- 8c416167501aea6df784c82ed40575d911d5e2d51de6177742c980517b7e852a
- Size of remote file:
- 1.86 MB
- SHA256:
- 2e185bbcbf1657805fe891fbec18cf2c2e14c19e6e976c43c36a79cfc841f357
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