Instructions to use xFutureTechx/SafeTensors-Backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/SafeTensors-Backup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/SafeTensors-Backup", torch_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
- Xet hash:
- f732d8b95c805eae4346cc0277632cdca0dcb2a6acf369388f75fa727bb9cc43
- Size of remote file:
- 2.13 GB
- SHA256:
- 1c7ddc3b83a2b1681852cf13b24806efc48ed72cdef4b8b49509fa77fa4397c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.