Instructions to use cuongdev/4nguoi-3800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/4nguoi-3800 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/4nguoi-3800", 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:
- c1f8f9a3824c673c26c1f9fbf1c5c76f25e2441b9612e0582e161783cfe06271
- Size of remote file:
- 681 MB
- SHA256:
- aca0e1e1eac1dc27815d113d83f915439ee10bdb1ebcb59908580dda8098adca
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