Instructions to use cuongdev/7nguoi-7000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/7nguoi-7000 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/7nguoi-7000", 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:
- 077cf988e1a6d8bd45d7c18a573cc668d96bc6ffc207270c027debb4e095917d
- Size of remote file:
- 681 MB
- SHA256:
- 0727fe671348e2a5ad1de612045ba2bd249ec82583c91714a7ab1c16ec4234f2
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