Instructions to use perilli/OCS_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use perilli/OCS_Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("perilli/OCS_Models", 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
Upload README.md
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README.md
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*[name of the model] [version] [[precision]] [[author]] [for which base model, if applicable] . safetensors*
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For example: *Realism 1.0 [fp16]
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## Licenses
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*[name of the model] [version] [[precision]] [[author]] [for which base model, if applicable] . safetensors*
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For example: *Realism 1.0 [fp16] [XLabs] for F1D.safetensors*
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## Licenses
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