Instructions to use Googh23/Magicmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Googh23/Magicmix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Googh23/Magicmix", 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:
- 5c38364291ac567c777627ba157fb2ae601bdc2d20e52c8bd9772a9ed99c463c
- Size of remote file:
- 335 MB
- SHA256:
- c67812085c2849bdbd7e26da156c143b02eae908fb78f09a48336d8eb8b075e8
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