Instructions to use tudaqian/a5000_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tudaqian/a5000_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tudaqian/a5000_test", 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:
- 7dd986bf060c77cd869172b96ba27062a3cbc2b71c0a933354e544122644ac09
- Size of remote file:
- 1.75 GB
- SHA256:
- dc2e4bad53f36d7f8af4dc0940929c4aeda06df4ad825635d94686f215b4020b
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