Instructions to use neonforestmist/sd15-monet-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neonforestmist/sd15-monet-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("neonforestmist/sd15-monet-lora") prompt = "Monet Style, a painting encased with a gold frame of a green apple" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Monet Style LoRA for Stable Diffusion 1.5

- Prompt
- Monet Style, a painting encased with a gold frame of a green apple

- Prompt
- Monet Style, a close-up view of a rose-themed singular quarter

- Prompt
- Monet Style, a pink drink with a straw

- Prompt
- Monet Style, a glass lotus inside a snow globe

- Prompt
- Monet Style, a sky filled with auroras above a mountain view

- Prompt
- Monet Style, an interior forest view with trees in different shades of green
Model description
This is a LoRA adapter for stable-diffusion-v1-5/stable-diffusion-v1-5 tuned toward soft impressionist imagery with luminous natural light, pastel color, loose brushwork, flowers, landscapes, reflective water, glowing skies, jewelry-like highlights, and quiet painterly scenes.
The repository contains the LoRA adapter only. It does not include or redistribute the base model.
Trigger words
Use:
Monet Style
Recommended settings
- LoRA weight:
0.75-0.90 - Starting weight:
0.85 - Steps:
25-35 - CFG scale:
6.5-8.0 - Sampler:
Euler aorDPM++ 2M Karras - Resolution:
512 x 512for native SD 1.5, or upscale/hires after generation if your workflow supports it
Prompting guidance
This LoRA tends to work best when the trigger phrase is near the front, followed by a simple subject, then a few consistent style cues:
Monet Style, [clear subject and setting], soft natural light, loose impressionist brushwork, pastel color palette
Useful anchors include soft natural light, luminous atmosphere, loose impressionist brushwork, pastel color palette, soft painterly texture, and gentle reflected light.
Dataset
Made from GPT-generated Monet-style impressionist image-caption pairs.
File
monet_style_lora.safetensors
SHA256:
092fa9eec4a180ad3900ecd6f8ea9d700258c56f60363d612e855bfe4852a75b
License
This LoRA follows the base model license: CreativeML Open RAIL-M.
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Model tree for neonforestmist/sd15-monet-lora
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5