Instructions to use GraydientPlatformAPI/realhotmix1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realhotmix1 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/realhotmix1", 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:
- 0135eb6bada973419aa12cc4da9d81999d6fdc847fc1409dff300b7e0611fbff
- Size of remote file:
- 246 MB
- SHA256:
- 6ca411014fd1278e6a8fd66c8727c86a7383c56565822b24828b947a672a48b3
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