Instructions to use SafeVLLMs/duplicated_gpr1200-pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SafeVLLMs/duplicated_gpr1200-pruned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SafeVLLMs/duplicated_gpr1200-pruned", 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
- Xet hash:
- dabb1aa230d56e320ddd7d0ad5ca747d345cc0b922266a5c5b6c78acbb3c3c37
- Size of remote file:
- 1.72 GB
- SHA256:
- 318aaa400595ed67277d5f82016ceaee2325f49503e1da3eadf280297096531f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.