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:
- e93d196930c6eaad03d6bec60f496f28108ca034f177811819d1b575837bcd7d
- Size of remote file:
- 335 MB
- SHA256:
- 9bc9becb32f0756185c39d44ddef96c477b734f949a19d7728c741be18209a25
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