Clover-Image-Tiny
Collection
A tiny image-generation model ecosystem with LoRA support and private, offline Core ML deployment on Apple devices. • 9 items • Updated
Clover Image Tiny — Watercolor Anime LoRA
A rank-16 style LoRA trained on
neonforestmist/GPT_Watercolor_Anime_Style_Images
for neonforestmist/Clover-Image-Tiny.
Use the prompt trigger watercolor anime.
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-watercolor-anime-lora"
)
image = pipe(
"watercolor anime, a small blue cat beside a quiet garden stream",
num_inference_steps=20,
guidance_scale=7.5,
).images[0]
Examples
Training
- Base revision:
63b0e9f6be9c00888ff464f342a9ef052bf76681 - Dataset revision:
a08ad49bc28e9cebd704fd1010846357220c5c5d - Resolution: 512 × 512
- Optimizer steps: 1,200
- Rank: 16
- Batch size: 1
- Learning rate: 1e-4 with cosine decay and 120 warmup steps
- Min-SNR gamma: 5
- Precision: fp16
- Seed: 20260730
- Trainer: Diffusers 0.39.0
train_text_to_image_lora.py
The dataset revision embeds each image in its Parquet row so the exact
training input remains portable in remote jobs. The reproducible pinned-data
job configuration is included in the Clover source repository under
training/.
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.
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