Instructions to use GraydientPlatformAPI/sweetmix22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/sweetmix22 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/sweetmix22", 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:
- f9540133ffb3dd6a6a4e61beb8f3e5632299c36affc6a0ca3d8d68fd084e0700
- Size of remote file:
- 1.72 GB
- SHA256:
- 4f448e7713f43d57e419f2afdf58b5479a71058c45e70b589c5fc9ea61324438
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