Instructions to use superdiff/superdiff-sdxl-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use superdiff/superdiff-sdxl-v1-0 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-sdxl-v1-0", 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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README.md
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pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", custom_pipeline="superdiff/superdiff-sdxl-v1-0")
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output = pipeline("a flamingo", "a candy cane", seed=1, num_inference_steps=200, batch_size=1)
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image = Image.fromarray(output[0]
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image.save("superdiff_output.png")
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```
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pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", custom_pipeline="superdiff/superdiff-sdxl-v1-0")
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output = pipeline("a flamingo", "a candy cane", seed=1, num_inference_steps=200, batch_size=1)
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image = Image.fromarray(output[0])
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image.save("superdiff_output.png")
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```
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