Instructions to use cuongdev/sieutonghop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/sieutonghop with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/sieutonghop", 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:
- 03e1ea5e088a52d42531d993125a977bf6c29ce7f99aceda36a071bda40edc5a
- Size of remote file:
- 3.46 GB
- SHA256:
- a0b3ebcc879ec1030f80f06e56793d46541ce48c945793604bb6f8926985bdf0
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