Instructions to use metrosir/realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use metrosir/realistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("metrosir/realistic", 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:
- f85bef7b56ab5198b848e5bf188da83c8f1933da29ac2025dcc67d000f411b43
- Size of remote file:
- 492 MB
- SHA256:
- bbf82791d6542e993e66ca0a0127dd93f9b4181d337f6ce790c71e5223274e81
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