Instructions to use kadirnar/Realistic51-Inpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/Realistic51-Inpaint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kadirnar/Realistic51-Inpaint", 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:
- 18678a4e6a5cc06791df6f0a9c7fc341372d96412c4d7b9ce9fc8fa7cebd1054
- Size of remote file:
- 3.44 GB
- SHA256:
- e3fede6f575f366beb77ebf2abf25769891e96801e2c2259fcbb17a3684d91cb
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