tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: Beautiful realistic landscape, mountains, river
parameters:
negative_prompt: >-
blurry, low quality, distorted, extra limbs, cartoon, painting, anime
style, out of frame, bad proportions
output:
url: https://i.imgur.com/bDeXN8g.png
base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
instance_prompt: realistic landscape, scenic, nature view
license: bigscience-openrail-m
Example LoRA - Realistic Landscapes
- Prompt
- Beautiful realistic landscape, mountains, river
- Negative Prompt
- blurry, low quality, distorted, extra limbs, cartoon, painting, anime style, out of frame, bad proportions
Model description
Example LoRA - Realistic Landscapes This LoRA was trained on a small curated dataset of realistic outdoor and nature landscape images, using stable-diffusion-v1-5 as the base model.
It aims to enhance the generation of highly realistic, vivid scenic imagery with natural lighting, detailed textures, and a cinematic feel.
Training Details: Base model: Stable Diffusion v1.5
Resolution: 512x512
Steps: 2,500
Batch size: 4
Learning rate: 1e-4
Optimizer: AdamW
LoRA Rank: 4
LoRA Alpha: 4
How to use: Load the LoRA with your preferred Stable Diffusion WebUI or Colab.
Use the trigger words: realistic landscape, scenic, nature view.
Adjust the weight between 0.6–0.9 for best results.
Trigger words You should use realistic landscape to trigger the image generation.
You should use scenic to trigger the image generation.
You should use nature view to trigger the image generation.
Download model Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Trigger words
You should use realistic landscape to trigger the image generation.
You should use scenic to trigger the image generation.
You should use nature view to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.