Instructions to use haor/Evt_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haor/Evt_V3 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_V3", 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
Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#1) 188f1eb
Update README.md 937b779
Update README.md 6fa21c8
Upload diffusers weights 23392ae
Upload Evt_V3_ema.ckpt 43e1990
initial commit 3cc345a
haor233 commited on