Instructions to use himmug/himanshu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use himmug/himanshu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("himmug/himanshu", 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:
- 8dd2c762ba536e5d1258b7c76e28460fbc1c90c84405028ae7276e859b031625
- Size of remote file:
- 3.46 GB
- SHA256:
- 29fba727a34e55dd39f15daec3b23ca6a06a6d2da6e3499f7e76571cb01d1150
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