Model reference · open weights
RORem-mixed is an open-weight image model from mayocream, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
RORem-mixed GGUF (Q4K) This repository contains a Q4K GGUF conversion of the RORem-mixed SDXL inpainting UNet for stable-diffusion.cpp. RORem is an object-removal/inpainting model from RORem: Training a Robust Object Remover with Human-in-the-Loop. The mixed-resolution checkpoint was trained for both 512x512 and 1024x1024 inputs. Files This is not a complete SDXL pipeline. It does not include the VAE, CLIP-L, or CLIP-G weights. Use those components from diffusers/stable-diffusion-xl-1.0-inpainting-0.1. stable-diffusion.cpp usage The model was converted and tested with the official CUDA prebuilt from stable-diffusion.cpp release master-782-b290693. The white portion of the mask is regenerated. For manga translation, dilating the text or SFX mask before inference helps remove outlines and antialiasing remnants. Local benchmark Single 512x512 manga inpainting crop, 30 Euler steps, fixed seed, RTX 5090, stable-diffusion.cpp CUDA build b290693: This is one local sample, not a comprehensive quality benchmark. Q4K was effectively tied with Q40 in speed while producing an output closer to the FP16 reference. Limitations - RORem can hallucinate texture, line art, or objects inside large masks. - Output quality depends strongly on mask dilation, crop context, resolution, prompt, and seed. - This checkpoint is intended for inpainting/object removal, not general text-to-image generation. - The quantized model may differ from FP16 output. Attribution and licenses - RORem project and original checkpoint: leeruibin/RORem, published by its authors under Apache 2.0. - SDXL inpainting base: diffusers/stable-diffusion-xl-1.0-inpainting-0.1, licensed under CreativeML Open RAIL++-M. - Inference runtime: stable-diffusion.cpp. Users are responsible for complying with all applicable upstream licenses and usage restrictions. Citation
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | mayocream |
|---|---|
| Type | Image models |
| Variants | 1 |
| Runs with | stable-diffusion.cpp |
| Based on | LetsThink/RORem, diffusers/stable-diffusion-xl-1.0-inpainting-0.1 |
| Released | 2026-07-19 |
| Popularity | 36k downloads / month |
| Likes | 5 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| RORem-mixed-GGUF | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys rorem-mixed for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (rorem-mixed below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"rorem-mixed","prompt":"a red bicycle","size":"1024x1024"}'
Details
Tags
Licence
Open weights under openrail++ — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗