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
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Update README.md
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README.md
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tags:
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- text-to-image
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- stable-diffusion
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---
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# 一款景观效果图模型
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# Landscape_Rendering model
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## 一些街道、公园测试
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-512分辨率HiRes Fix到1024
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tags:
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- text-to-image
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- stable-diffusion
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pipeline_tag: text-to-image
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---
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# 一款景观效果图模型
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# Landscape_Rendering model
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+++++++++++++++++++++++++++++++++++++
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## 一些街道、公园测试
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-512分辨率HiRes Fix到1024
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