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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ca70ce1d037dd55886363b351e767f20a1af0d2c8323f05c7adea00b78b04fec
- Size of remote file:
- 4.31 GB
- SHA256:
- 2bea69527fdb612552fc7dfea0809c7ca6c674ff88d07ded28d51d39e747512a
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