Instructions to use wolf1280/RealESRGAN_x2plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolf1280/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("wolf1280/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
Download diffusion_pytorch_model.safetensors from wolf1280/RealESRGAN_x2plus: direct link, hf CLI and curl.
- Browser
- Download file 66.9 MB
-
https://huggingface.co/wolf1280/RealESRGAN_x2plus/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://wolf1280/RealESRGAN_x2plus/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/wolf1280/RealESRGAN_x2plus/resolve/main/diffusion_pytorch_model.safetensors
66.9 MB
- Xet hash:
- be69b7278f24523f0fff50107a8d7eedc68f4d18517936b3a11268962f91fc4b
- Size of remote file:
- 66.9 MB
- SHA256:
- a2e3471b47b9d871ad81f045af884d23d477a7474177d6eeed4332d1d7bd082f
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