Instructions to use GamerC0der/WorldDiffusionLandscape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GamerC0der/WorldDiffusionLandscape with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GamerC0der/WorldDiffusionLandscape", 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
File size: 258 Bytes
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language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- diffusers
duplicated_from: runwayml/stable-diffusion-v1-5
pipeline_tag: text-to-image
inference: true
library_name: diffusers
---
# Landscape Finetune Model Card |