Instructions to use jellyw/landscape-rendering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jellyw/landscape-rendering with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jellyw/landscape-rendering", 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: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| pipeline_tag: text-to-image | |
| # 一款景观效果图模型 | |
| # Landscape_Rendering model | |
| +++++++++++++++++++++++++++++++++++++ | |
| ## 一些街道、公园测试 | |
| -512分辨率HiRes Fix到1024 | |
| <img src="https://huggingface.co/jellyw/landscape-rendering/resolve/main/sample2.jpg" style="max-width: 400px;" width="100%"/> | |
| -512原生分辨率 | |
| <img src="https://huggingface.co/jellyw/landscape-rendering/resolve/main/sample.jpg" style="max-width: 400px;" width="100%"/> |