Instructions to use GraydientPlatformAPI/seizamix2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/seizamix2 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/seizamix2", 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:
- 3a1ca67399c77ce922446fbcdb0f9f80103d4f0e507eaf52394efd325539f74e
- Size of remote file:
- 1.72 GB
- SHA256:
- 9c08e53b45d94e10a0674d639a04e211911f4b4d25072c10a698b8200bab8a56
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