Instructions to use haor/Evt_M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haor/Evt_M with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("haor/Evt_M", 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
Commit History
Upload 9.png 9d7cf17
Update README.md 2575a1c
Upload 8.png 5ba0b2d
Upload 7.png 8ddd3e2
Update README.md 1f227b2
Upload 6.png 75d0886
Upload 5.png 79b680a
Upload 4 files 6152796
Upload 4 files f335d73
initial commit d061c62
haor233 commited on