Instructions to use GraydientPlatformAPI/mugenmalu-try2-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mugenmalu-try2-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/mugenmalu-try2-sdxl", 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:
- d0ae7538b1dedc5ff22bae62c93528e0055151db178903f5c428435e3ce6aba6
- Size of remote file:
- 246 MB
- SHA256:
- 7c869683e27c2468aa2bfc763df3e265380a0ed1884fd997f2c9cbca5e950ab6
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