Instructions to use Kukesh/RealisticVisionInpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kukesh/RealisticVisionInpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kukesh/RealisticVisionInpainting", torch_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:
- 171536cb219d96523ebe5c594dacaf777ef8813a79489308f948746954748e33
- Size of remote file:
- 335 MB
- SHA256:
- f33fbda70e9f9a939924af7c088281ca3f3067a29842a27f870fbd7b3c479f5a
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