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:
- 78ae022bd4fc9e4327e9886e370a6cfb6fffa79152a882d97bb81d7a9980714a
- Size of remote file:
- 246 MB
- SHA256:
- 1cedb9305700619867d33b3c2ee540e687376537fe514a138bdf53749154f9ba
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