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v3

KTO fine-tuned Stable Diffusion inpainter with LoRA for safety alignment. Base model: runwayml/stable-diffusion-inpainting

ArtLoRABasismodellrunwayml/stable-diffusion-inpaintingVersionBBewertung

Modellquelle

Art
LoRA
Dateigröße
183 MB
Basismodell
runwayml/stable-diffusion-inpainting
Version
vadapter_model
Aktualisiert
9. Okt. 2026
Quelle
Hugging Face

Quellenbeschreibung

ShreyashDhoot/v3

Last updated: 2026-05-15 14:05

Model Description

KTO fine-tuned Stable Diffusion inpainter with LoRA for safety alignment. Base model: runwayml/stable-diffusion-inpainting

Checkpoints

  • checkpoint--1000
  • checkpoint--1500
  • checkpoint--2000
  • checkpoint--2500
  • checkpoint--3000
  • checkpoint--3500
  • checkpoint--4000
  • checkpoint--4500
  • checkpoint--50
  • checkpoint--500
  • checkpoint--5000

Example Eval Outputs

eval_step1000_sample0.png eval_step1000_sample1.png eval_step1000_sample2.png eval_step1000_sample3.png eval_step1000_sample4.png eval_step1000_sample5.png eval_step1500_sample0.png eval_step1500_sample1.png


Auto-generated by push_to_hf.py

Quellen

1 Quelle
Hugging FacePrimärVersion aff2e4affe0ee9ad0526f48a5581fca963f57011
huggingface.co/ShreyashDhoot/v3/tree/aff2e4affe0ee9ad0526f48a5581fca963f57011

Verifiziert 9. Okt.

Modellartefakte

1 Artefakt

checkpoints/checkpoint--1000/adapter_model.safetensors

safetensors · 183 MB · SHA-256 d1361a116c84…20c8 · Hugging Face

Download file

Quellenauszüge

2 Auszüge

--- base_model: runwayml/stable-diffusion-inpainting tags: - stable-diffusion - inpainting - lora - kto - diffusers license: creativeml-openrail-m library_name: diffusers pipeline_tag: image-to-image --- # ShreyashDhoot/v3 **Last updated:** 2026-05-15 14:05 ## Model Description KTO fine-tuned Stable Diffusion inpainter with LoRA for safety alignment. Base model: [`runwayml/stable-diffusion-inpainting`](https://huggingface.co/runwayml/stable-diffusion-inpainting) ## Checkpoints - `checkpoint--1000` - `checkpoint--1500` - `checkpoint--2000` - `checkpoint--2500` - `checkpoint--3000` - `checkpoint--3500` - `checkpoint--4000` - `checkpoint--4500` - `checkpoint--50` - `checkpoint--500` - `checkpoint--5000` ## Example Eval Outputs ![eval_step1000_sample0.png](eval_outputs/eval_step1000_sample0.png) ![eval_step1000_sample1.png](eval_outputs/eval_step1000_sample1.png) ![eval_step1000_sample2.png](eval_outputs/eval_step1000_sample2.png) ![eval_step1000_sample3.png](eval_outputs/eval_step1000_sample3.png) ![eval_step1000_sample4.png](eval_outputs/eval_step1000_sample4.png) ![eval_step1000_sample5.png](eval_outputs/eval_step1000_sample5.png) ![eval_step1500_sample0.png](eval_outputs/eval_step1500_sample0.png) ![eval_step1500_sample1.png](eval_outputs/eval_step1500_sample1.png) --- _Auto-generated by push_to_hf.py_

Source context: 0 downloads · 0 likes · Pipeline image-to-image · Library diffusers · Repo ShreyashDhoot/v3