Instructions to use wikeeyang/SRPO-Refine-Quantized-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wikeeyang/SRPO-Refine-Quantized-v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/SRPO-Refine-Quantized-v1.0", 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:
- 1198477a7d05c3cdb09d3da77887e5e87445c9228573c04e66826c5566ef126f
- Size of remote file:
- 1.22 MB
- SHA256:
- 7674e08d3224115465bc6e5f21ccf4f9281e39387a4331a8dac0548ce4fdf013
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