Instructions to use stabilityai/sd-x2-latent-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/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("stabilityai/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
Adding `safetensors` variant of this model
Browse files
text_encoder/model.safetensors
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oid sha256:7b3a12df205cb3c74dd4eae4354d93f606ae6b3bc29d5d06fd97921cb9ad8a81
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unet/diffusion_pytorch_model.safetensors
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oid sha256:373ac96d863d7c2acd2cbeca16b21c980235f2e5d4d9bfbaafa8c0d7f627e28f
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size 1490315270
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vae/diffusion_pytorch_model.safetensors
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oid sha256:a1d993488569e928462932c8c38a0760b874d166399b14414135bd9c42df5815
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size 334643276
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