Instructions to use moonrabbit256/2K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moonrabbit256/2K with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("moonrabbit256/2K", torch_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
| license: other | |||
| tags: | |||
| - text-to-image | |||
| - stable-diffusion | |||
| - diffusers | |||
| inference: true | |||
| pipeline_tag: text-to-image | |||
| base_model: | |||
| - stable-diffusion-v1-5/stable-diffusion-v1-5 | |||
| %3C!----%3E%3C%2Ftd%3E%3C%2Ftr%3E%3Ctr id="L13"> | |||
| %3C!----%3E%3C%2Ftd%3E%3C%2Ftr%3E%3Ctr id="L15"> | |||
| %3C!----%3E%3C%2Ftd%3E%3C%2Ftr%3E%3Ctr id="L17"> | |||
| %3C!----%3E%3C%2Ftd%3E%3C%2Ftr%3E%3C!--%5D--%3E%3C%2Ftbody%3E%3C%2Ftable%3E%3C%2Fdiv%3E |