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
Upload Onoob_TheBetterOne_vPredV11.safetensors
Browse files
XLBase/Models/NoobBase/Onoob_TheBetterOne_vPredV11.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3608c19f1967515bfb2f43914f03696a417f0d1f8c26f9725b4ded624e4ee2a
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size 6938044586
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