Instructions to use Onocom/Ono-Mixes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Onocom/Ono-Mixes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Onocom/Ono-Mixes", 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 Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -14,6 +14,13 @@ OnoFluff Models use V-Prediction so it needs the .yaml file associated with it.<
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this model has the <a href="https://huggingface.co/lodestones/furryrock-model-safetensors/tree/main/fluffyrock-1088-minsnr-zsnr-vpred-ema">FluffyRock-zsnr-21-ema</a> model as base, if you can, u should use it with zsnr Enabled.
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<p>
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Ono-PureFurXL Model is a Merge based on PonyXL.<br>
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it aims for better base quality/useablility then PonyXL base, while keeping most styles and knowledge as alive as possible.
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this model has the <a href="https://huggingface.co/lodestones/furryrock-model-safetensors/tree/main/fluffyrock-1088-minsnr-zsnr-vpred-ema">FluffyRock-zsnr-21-ema</a> model as base, if you can, u should use it with zsnr Enabled.
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</p>
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The Ono-Crossfusion model use V-Prediction so it needs the .yaml file associated with it.
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it is a merge on a new base model (FluffusionR3E22) where i merged OnoFluff - 13.1 into it.
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it works a bit differently from Onofluff the merge, but still produces great quality and it fixed the "overburned" feeling Onofluff had, it defaults a bit less to 2.5 style compared to Onofluff.
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I put less testing into this model because it is more of a side project, so it might have some untested problems with certain prompts.
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</p>
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<p>
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Ono-PureFurXL Model is a Merge based on PonyXL.<br>
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it aims for better base quality/useablility then PonyXL base, while keeping most styles and knowledge as alive as possible.
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