Instructions to use GraydientPlatformAPI/sweetmix-iller with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/sweetmix-iller 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/sweetmix-iller", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 0948438b65e50d9bcd0ae5444a7fea45bf374aa7f497c9806bc741bffee2f660
- Size of remote file:
- 167 MB
- SHA256:
- 808d4060dc9a0c7cd294a6cca7a5adf2911c300a42d5d14586ee5a1bd0e90d19
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