neonforestmist/clover-image-tiny-monet-lora

Clover Image Tiny — Monet LoRA

A rank-16 style LoRA trained on neonforestmist/GPT_Monet_Style_Images for neonforestmist/Clover-Image-Tiny.

The corresponding stateful Core ML adapter is neonforestmist/clover-image-tiny-monet-lora-coreml, which targets neonforestmist/Clover-Image-Tiny-CoreML.

Examples

The prompt set used for this gallery is preserved at examples/prompt-gallery/prompts.txt.

Prompt

Monet Style, a nice autumn background

Prompt

Monet Style, a green apple in a nice museum frame

Prompt

Monet Style, some roses in a vase

Prompt

Monet Style, a castle

Prompt

Monet Style, an apple tree in the summer

Prompt

Monet Style, a sailboat on a beach

Prompt

Monet Style, some pastries

Prompt

Monet Style, a sunflower

Prompt

Monet Style, a moon above a lake

Base model → Monet LoRA

Same prompt, same greenhouse subject, with the style adapter applied:

Base model	Monet LoRA

The original four validation samples remain available in the repository as image_0.png through image_3.png.

Usage

Use the prompt trigger Monet Style.

import torch
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained(
    "neonforestmist/Clover-Image-Tiny",
    torch_dtype=torch.float16,
).to("cuda")
pipe.load_lora_weights("neonforestmist/clover-image-tiny-monet-lora")

image = pipe(
    "Monet Style, a small blue cat resting beside a lily pond",
    num_inference_steps=20,
    guidance_scale=7.5,
).images[0]

Training

• Base revision: 63b0e9f6be9c00888ff464f342a9ef052bf76681
• Dataset revision: 2941a88e5268bbb4224ff2916013b78ec313d03a
• Resolution: 512 × 512
• Optimizer steps: 1,000
• Rank: 16
• Batch size: 1
• Learning rate: 1e-4 with cosine decay and 100 warmup steps
• Min-SNR gamma: 5
• Precision: fp16
• Seed: 20260730
• Trainer: Diffusers 0.39.0 train_text_to_image_lora.py

The reproducible job configuration is included in the Clover source repository under training/.

Provenance

• Base model: neonforestmist/Clover-Image-Tiny
• Training dataset: neonforestmist/GPT_Monet_Style_Images
• Core ML base: neonforestmist/Clover-Image-Tiny-CoreML
• Training and conversion source: neonforestmist/clover-image-tiny-lora-trainer

License and limitations

These adapter weights are a derivative of Clover Image Tiny and use the CreativeML Open RAIL-M license. The training dataset is Apache-2.0. Generated content can inherit limitations and biases from the base checkpoint and training data; review outputs before use.