Instructions to use hariharasudhan/realisticv5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hariharasudhan/realisticv5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hariharasudhan/realisticv5", 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:
- c907ae0624acef0976f2b213b910e88c58815798ff90eb6fe85a7e4ee81ca4c0
- Size of remote file:
- 167 MB
- SHA256:
- 6183e4464d298b5aa971849ea031f233aaf16b0a31b6ffbc3754605e85a1b8f1
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