Instructions to use LHRS/RSSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRS/RSSR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LHRS/RSSR", 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:
- c8cf8dffa1d3ac2c5a95e0aece6a1f8a5c0204ab02f77b8f54826d592187dc00
- Size of remote file:
- 4.31 GB
- SHA256:
- f1b7d16ebec711a9cb8280f1a19e68999bdfba2f419e606a6c4aef2978f9f3e5
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