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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9ba0f017fc71037bc0377be06c7f930ba8c9230c1b6e06cd0c4072c8665f4019
- Size of remote file:
- 246 MB
- SHA256:
- 699fe7689f6f2b0716823b80b71367683ad38764eafb0ffcee236e3c25f01816
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