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 pixelwave_flux1Dev03.safetensors
Browse files
Generation/Image/FLUX-based/PixelWave/pixelwave_flux1Dev03.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a34d7b4f2343c24a6e7d7203353f1156690eebbf9ccfa5bf523da80a0cd25a09
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size 23802920672
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