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
Commit History
-
Rename Encoding/Text/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors to Encoding/Image/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors
Verified signaturebd4d8f8 -
Rename Encoding/Text/CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors to Encoding/Image/CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors
Verified signature8e102ae
-
Upload 84 files
Verified signature4cc3eff