Instructions to use Muhammadreza/ds-test-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muhammadreza/ds-test-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Muhammadreza/ds-test-1", 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
- Draw Things
- DiffusionBee
- Xet hash:
- faa9c991b0aa0dd8c93fb4d3f2dd040a97fa127c61276533ab4bdf41b63457f8
- Size of remote file:
- 246 MB
- SHA256:
- 2fb21327a82019012fae6b7611e4623f2b98c18779fc71a04b7c2d04b304cae7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.