Instructions to use GraydientPlatformAPI/sd15real8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/sd15real8 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/sd15real8", 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:
- 85579618af8277d3edf92ebf621b62f09c87974d1e2fd40d2cc82cd8c653a22d
- Size of remote file:
- 1.72 GB
- SHA256:
- 64feec34e999391db877a23db27e490a001bbfb594fd57290f6e454347a342c9
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