Instructions to use superdiff/superdiff-sd-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use superdiff/superdiff-sd-v1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("superdiff/superdiff-sd-v1-4", 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
- Local Apps
- Draw Things
- DiffusionBee
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## Requirements
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This pipeline can be run with the following packages & versions:
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- PyTorch 2.5.1
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- Diffusers 0.32.1
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- Accelerate 1.2.1
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- Transformers 4.47.1
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You can install these with:
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## Requirements
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This pipeline can be run with the following packages & versions:
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- `PyTorch 2.5.1`
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- `Diffusers 0.32.1`
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- `Accelerate 1.2.1`
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- `Transformers 4.47.1`
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You can install these with:
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