Instructions to use softwareweaver/HaveAll-Olive-Onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/HaveAll-Olive-Onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("softwareweaver/HaveAll-Olive-Onnx", 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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license: openrail
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license: openrail
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language:
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- en
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library_name: diffusers
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pipeline_tag: text-to-image
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Olive Optimized DirectML Onnx model for https://civitai.com/models/213692
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This model is being used by Fusion Quill - a Windows app that runs Stable Diffusion models locally. https://FusionQuill.AI
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