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
- Draw Things
- DiffusionBee
- Xet hash:
- 03bfeb7af4a152246824cda9e701cc0c0cae4dcf6640b27b969393d1c41e42f2
- Size of remote file:
- 681 MB
- SHA256:
- 4df6fc45899cfdce2cf5e40637393860b9ed19456a6cf5475538d732ae3ada83
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