Instructions to use Muapi/landscape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/landscape with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/landscape") 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
Download preview.jpg from Muapi/landscape: direct link, hf CLI and curl.
- Browser
- Download file 290 kB
-
https://huggingface.co/Muapi/landscape/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/landscape/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/landscape/resolve/main/preview.jpg
290 kB

- Xet hash:
- 4b341f821365b5f60c68d2ccdbf7c980719686115555b8b0825e59f6fe5abd8f
- Size of remote file:
- 290 kB
- SHA256:
- d863bf3e8f3917c2cb9dc293285774fa8628679f70ec0764722fefcfa040027c
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