Instructions to use cuongdev/vtthuc-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/vtthuc-v2 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/vtthuc-v2", 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:
- aeb69b8b46aabb341f7de9f1fa1d3098297c2bddf0db685808fe4b01d211cc32
- Size of remote file:
- 2.61 GB
- SHA256:
- 2b0f804dae751ee592ad00d431d79845de38becbfa7553bd6c7e81ebd40a89ad
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