Instructions to use cuongdev/tnmthu-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tnmthu-v4 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/tnmthu-v4", 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:
- 67e6129d1765a7f99205e4f822002a32ad22bb6e113cced870026e60dd1794ef
- Size of remote file:
- 681 MB
- SHA256:
- 87ae9c6997d780125d101529a908b8b69b85a68022effb3020172492e221995c
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