Instructions to use ahmedfaiyaz/OkkhorDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ahmedfaiyaz/OkkhorDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ahmedfaiyaz/OkkhorDiffusion", 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8179be6d9f5488eb5b08a31c5112c479da607a422a14a986216c1f9592bd5a4
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size 113922620
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