Instructions to use cuongdev/7nguoi-1500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/7nguoi-1500 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-1500", 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
Commit History
-
Upload folder using huggingface_hub
Verified signaturec4bd1c8 -
Upload model_index.json with huggingface_hub
Verified signature645b021 -
Upload folder using huggingface_hub
Verified signaturefed82f3 -
Upload folder using huggingface_hub
Verified signatureaa15b46 -
Upload folder using huggingface_hub
Verified signature5cff4dc -
Upload folder using huggingface_hub
Verified signature3d186ea -
Upload folder using huggingface_hub
Verified signature95a982e -
Upload folder using huggingface_hub
Verified signature8da3e25 -
Upload the concept 7nguoi-1500 embeds and token
Verified signatureeac3862 -
initial commit
Verified signatureb46034e