Instructions to use Muapi/landscapes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/landscapes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/landscapes") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f0fe24a7bfe08d84c940f9f76d4b53d2f2f47ea51b01affc6f31389352a82405
- Size of remote file:
- 292 kB
- SHA256:
- d9c9ec4deae33e8ebe1156a74911a498778c1fdded4f0a1138f5289ba0ca024f
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