Instructions to use Muhammadreza/dl-test-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muhammadreza/dl-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/dl-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:
- dd821e36197ef674887471d8c13f2af8c2589e99b7d5d78fb308454a6ca38b98
- Size of remote file:
- 3.44 GB
- SHA256:
- 406a840332e5361337e3af8a1bb409425168a2c00f6652b384da8b3a7d5b3df1
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