Instructions to use syaimu/7th_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use syaimu/7th_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("syaimu/7th_test", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f94e9c595757b66152f98ccf73c76bb29e8a91982994bb712c08f2af568d278a
- Size of remote file:
- 335 MB
- SHA256:
- ac443ad2ca77ed8e7dd28406d42a636721991eb718766784ff4d3b4286e4b815
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