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jewel-model-overfit
itsmohit/jewel-model-overfit
jewel-model-overfit is a image-to-image model from itsmohit. Use it when you need one image transformed into another. It is set up for diffusers. The card lists the license as other.
A full fine-tune of the FLUX.2 [klein] base 4B transformer for image-to-image jewellery retouching. It was deliberately overfit on the 12-pair jewel-overfit-dataset for 5000 steps (final loss ≈ 0.095, lr 1e-5).
Access
Public
Updated Sep 23, 2026
Parameters
3.9B
7.8 GB on disk
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0
Public
Repo makeup
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.safetensors7.8 GB · 100%
At a glance
- Task
- Image-to-Image
- Library
- diffusers
- License
- other
- Access
- Public
- Created
- Sep 22, 2026
- Updated
- Sep 23, 2026
- SHA
- 2d740634
Base models
Model card
From the Hugging Face model README
jewel-model-overfit
A full fine-tune of the FLUX.2 [klein] base 4B transformer for image-to-image jewellery retouching. It was deliberately overfit on the 12-pair jewel-overfit-dataset for 5000 steps (final loss ≈ 0.095, lr 1e-5).
Only the transformer is included here. Load the VAE, text encoder and scheduler from the base model.
- Prompt:
studio-retouch the jewellery - Weights:
transformer/diffusion_pytorch_model.safetensors(bf16, ~7.7 GB)
import torch
from diffusers import Flux2Transformer2DModel
transformer = Flux2Transformer2DModel.from_pretrained(
"itsmohit/jewel-model-overfit", subfolder="transformer", torch_dtype=torch.bfloat16
)
License: follows the FLUX.2 [klein] base 4B license.
- Task
- Image-to-Image
- Library
- diffusers
- License
- other
- Created
- Sep 22, 2026
- Updated
- Sep 23, 2026