Instructions to use GraydientPlatformAPI/realedge7light-4step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realedge7light-4step 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/realedge7light-4step", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 8f5f1cee2514270633aa77f550991b59ecff26b38a36cc02e6fa2f59d116e1e7
- Size of remote file:
- 1.39 GB
- SHA256:
- ff42f712a9be6d063ffdaf9e2c08c511ba3e71ae7df12cc12c9951d61c2b31fb
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