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
Rename Conditioning/Image/LoRAs/FLUX-based/XLabs FLUX Realism 1.0.safetensors to Conditioning/Image/LoRAs/FLUX-based/XLabs FLUX Realism 1.0 [BF16].safetensors
Browse files
Conditioning/Image/LoRAs/FLUX-based/{XLabs FLUX Realism 1.0.safetensors → XLabs FLUX Realism 1.0 [BF16].safetensors}
RENAMED
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