Instructions to use Asif782/NewModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Asif782/NewModels with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Asif782/NewModels", 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
- Draw Things
- DiffusionBee

- Xet hash:
- 445be13753647ff9ae7ff45fabde98466dfa313de000ab4c0862fe7c8b700af0
- Size of remote file:
- 2.36 MB
- SHA256:
- e9bc8b87e0a96620e55d61f3646ab10311145b78bde323271701c098544b46d8
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