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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 34c2f0506b6aa507aaeec2eb2e4cfd803e45e5871959f254d034971662caa286
- Size of remote file:
- 246 MB
- SHA256:
- 8302532716e0d92dc77e8b13ccaa78a700660524d876a882946719c005ef688a
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