Instructions to use MHesho/noon-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MHesho/noon-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MHesho/noon-diffusion", torch_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:
- a97177df2de10c095904998e854a99e593ccbaf46e803fea1b561acf82c35807
- Size of remote file:
- 492 MB
- SHA256:
- a01b5757c26e53cb3a0bada8c2e4778f4bb9e8ef952a0267cbd4d55df3477d1f
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