Instructions to use GraydientPlatformAPI/realisticmixii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realisticmixii 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/realisticmixii", 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:
- 66e9ccf379ec7e5b9947abc59f70aa0eb0cd51cd63988508157c4da8bb673d8c
- Size of remote file:
- 246 MB
- SHA256:
- 7361ae557e023d596f76b728735ea322ca2acc0c77f24ab3db3985a19dd0b354
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