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:
- c3984e6106ef61a7385fcf7434ee0f848214ef4ccbfbf56a21932634acab6b5b
- Size of remote file:
- 492 MB
- SHA256:
- 0d0749e0181d1ca3e74b3ae277a1012388fcb1d05236cda22db08601a117f55a
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