Instructions to use cuongdev/test-hnta-vtt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-hnta-vtt 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/test-hnta-vtt", 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:
- 7c12d5a8efe09115d291339a922164060d48aa5641c9a89f33474f680a732c7a
- Size of remote file:
- 681 MB
- SHA256:
- cf073023d5e4c6fee1f6a296242481a9d515544d32576dce63dc8ffa52e66947
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