Instructions to use Davit12/realisticDigital_v40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Davit12/realisticDigital_v40 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Davit12/realisticDigital_v40", 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:
- 6bb2c0568cda7d307f009bef051e8c62cb0b6e9c25ddbcf4a3d8899ac16e6161
- Size of remote file:
- 167 MB
- SHA256:
- 6b62bf61a1e96c65ec1d407658ad7ac6b4ba27660aeec12f60484b719d37a017
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.