Instructions to use hlky/RealESRGAN_x2plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hlky/RealESRGAN_x2plus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hlky/RealESRGAN_x2plus", 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
- Xet hash:
- be69b7278f24523f0fff50107a8d7eedc68f4d18517936b3a11268962f91fc4b
- Size of remote file:
- 66.9 MB
- SHA256:
- a2e3471b47b9d871ad81f045af884d23d477a7474177d6eeed4332d1d7bd082f
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