Instructions to use stablediffusionapi/mymix-g-jem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/mymix-g-jem with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/mymix-g-jem", 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:
- aeb21a7c2576a65872776f51d1ce2883bc26aa8210e40e973dadd7e4991fc43c
- Size of remote file:
- 492 MB
- SHA256:
- f7ee7eed42076a4835c5817ce7ca41c63fd4b2cdb9e3c157e6304a61d0388c76
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