Model reference · open weights
SenseNova-U1.5-8B_GGUFs is an open-weight image model from realrebelai, 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
SenseNova U1.5 8B MoT - GGUF Quantizations Optimized GGUF quantization formats for SenseNova-U1.5-8B-MoT, tailored for lower-VRAM setups (such as 8GB NVIDIA GPUs) via ComfyUI. The tracking tags above link directly back to the main repository model page to aggregate download statistics. Available Quants Files are engineered to balance performance and memory footprints using high-precision F16 tensor swaps for sensitive layers (patchembedding, denseembedding, and fmhead) to preserve generation quality: Q80 (~21.6 GB) — Near-lossless quality. Q6K (~17.5 GB) — High fidelity. Q5KM (~15.5 GB) — Balanced tier. Q4KM (~13.5 GB) — Standard compressed tier. Q3KM (~10.5 GB) — Recommended tight VRAM profile for 8GB cards. Q2K (~9.4 GB) — Maximum compression. Required Custom Node Fork To run these GGUF files natively without structural AttributeError crashes or shape mismatches, use the dedicated node fork: 👉 GitHub: ComfyUISenseNovaU1REBEL Installation & Usage 1. Place your chosen .gguf file into your ComfyUI models directory (e.g., ComfyUI/models/gguf/). 2. Ensure you have installed the ComfyUISenseNovaU1REBEL custom node suite. 3. Load the model using the SenseNovaSMModel loader node and hook it up to the SenseNovaSMSampler.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | realrebelai |
|---|---|
| Type | Image models |
| Variants | 1 |
| Runs with | comfyui |
| Based on | sensenova/SenseNova-U1.5-8B-MoT |
| Released | 2026-08-21 |
| Popularity | 9k downloads / month |
| Likes | 16 |
| 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 |
|---|---|---|---|---|---|
| SenseNova-U1.5-8B_GGUFs | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys sensenova-u1-5-8b-ggufs for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (sensenova-u1-5-8b-ggufs 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":"sensenova-u1-5-8b-ggufs","prompt":"a red bicycle","size":"1024x1024"}'
Details
Tags
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗