Instructions to use stabilityai/stable-diffusion-x4-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-x4-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/stable-diffusion-x4-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
Update vae/config.json
Browse filesThis config file causes the following FutureWarning error.
> FutureWarning: The configuration file of the vae does not contain `scaling_factor` or it is set to 0.18215, which seems highly unlikely. If your checkpoint is a fine-tuned version of `stabilityai/stable-diffusion-x4-upscaler` you should change 'scaling_factor' to 0.08333 Please make sure to update the config accordingly, as not doing so might lead to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull Request for the `vae/config.json` file
So please approve this pull request. It will probably work.
- vae/config.json +2 -1
vae/config.json
CHANGED
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@@ -23,5 +23,6 @@
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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]
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}
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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],
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"scaling_factor": 0.08333
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}
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