Instructions to use Jinstudio/sd-x2-latent-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinstudio/sd-x2-latent-upscaler with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jinstudio/sd-x2-latent-upscaler", 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:
- 20070c02de3bd4b7c205b85b6b94b7ad83a78a6a4194a4f5fe596bed199e0656
- Size of remote file:
- 1.58 MB
- SHA256:
- 13eed83062bceaf88c8bde6988b0359104ebfc326350c7b67a97176ff20f59a6
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