Instructions to use cuongdev/new-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/new-model 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/new-model", 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:
- 0a47ed97d4928499a62858f71ec6fcb96acd7d7d6f3983579efe44d79242e899
- Size of remote file:
- 2.61 GB
- SHA256:
- 5d16fe8611e883983d8584caff38c9f0df0903b3bc26fdeb0a5b778a90d989ba
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