🧠
Moodydesiremix Gguf model by neptunite
⭐ 41.4
🧠
Model

Moodydesiremix Gguf

by neptunite hf-model--neptunite--moodydesiremix_gguf
Nexus Index
41.4 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 29
R: Recency 96
Q: Quality 50
Tech Context
Vital Performance
2.3K DL / 30D
0.0%
Source →
Audited 41.4 FNI Score
Tiny - Params
- Context
2.3K Downloads
Restricted CREATIVEML License
Model Information Summary
Entity Passport
Registry ID hf-model--neptunite--moodydesiremix_gguf
License creativeml-openrail-m
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__neptunite__moodydesiremix_gguf,
  author = {neptunite},
  title = {Moodydesiremix Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/neptunite/moodydesiremix_gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
neptunite. (2026). Moodydesiremix Gguf [Model]. Free2AITools. https://huggingface.co/neptunite/moodydesiremix_gguf

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download neptunite/moodydesiremix_gguf

⚖️ Nexus Index V2.0

Methodology Index Protocol
41.4
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 29
Recency (R) 96
Quality (Q) 50

💬 Index Insight

FNI V2.0 for Moodydesiremix Gguf: Semantic (S:50), Authority (A:0), Popularity (P:29), Recency (R:96), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

Moody Desire Mix v1.0 - GGUF Quantizations

GGUF quantized versions of Moody Desire Mix v1.0 (Flux.2 Klein 9B Checkpoint), quantized from the original FP16 source using the city96/ComfyUI-GGUF toolchain.

GGUF 量化版本，原始模型来自 Moody Desire Mix v1.0 （Flux.2 Klein 9B Checkpoint），使用 city96/ComfyUI-GGUF 工具链从 FP16 源文件量化而来。

Available Versions / 可用版本

File / 文件 Quant / 量化 Size / 大小 VRAM / 推荐显存 Quality / 画质保留
moodyDesireMix_v10_Q8_0.gguf Q8_0 ~10 GB 12GB+ 98–99%
moodyDesireMix_v10_Q6_K.gguf Q6_K ~8 GB 10GB+ 95–97%
moodyDesireMix_v10_Q5_K_M.gguf Q5_K_M ~7 GB 8GB+ 90–93%
moodyDesireMix_v10_Q4_K_M.gguf Q4_K_M ~6 GB 6GB+ 80–87%

Recommendation: Use Q8_0 if VRAM allows. Q6_K / Q5_K_M for 6–10GB cards. Q4_K_M for 4–6GB cards as a last resort.

建议：显存充裕优先选 Q8_0；6–10GB 显卡推荐 Q6_K 或 Q5_K_M；4–6GB 显卡选 Q4_K_M。

Usage (ComfyUI) / 使用方法（ComfyUI）

Step 1 — Install ComfyUI-GGUF / 安装 ComfyUI-GGUF

Search for ComfyUI-GGUF in ComfyUI Manager and install it, or clone manually:

在 ComfyUI Manager 中搜索并安装 ComfyUI-GGUF，或手动克隆：

bash 
cd ComfyUI/custom_nodes
git clone https://github.com/city96/ComfyUI-GGUF

Step 2 — Place the Model File / 放置模型文件

Place the downloaded .gguf file into:

将下载的 .gguf 文件放入：

text 
ComfyUI/models/unet/

Step 3 — Load in Workflow / 在 Workflow 中加载

In the ComfyUI canvas:

  1. Double-click to open the node search
  2. Search for Unet Loader (GGUF) and replace your existing Load Diffusion Model node
  3. Select the .gguf file from the dropdown

在 ComfyUI 画布中：

  1. 双击空白处打开节点搜索
  2. 搜索 Unet Loader (GGUF)，替换原有的 Load Diffusion Model 节点
  3. 在节点下拉菜单中选择对应的 .gguf 文件

About GGUF Quantization / 关于 GGUF 量化

GGUF is a quantization format popularized by llama.cpp that supports offloading model layers to system RAM, enabling large models to run even when VRAM is insufficient. Q8_0 has negligible quality loss compared to FP16, while Q5_K_M offers the best balance between file size and image quality.

GGUF 是 llama.cpp 推广的量化格式，支持将模型层卸载到系统内存（RAM）， 在显存不足时也能运行大模型。Q8_0 与 FP16 原版质量差距极小，Q5_K_M 是文件大小与画质的最佳折中选择。

Original Model / 原始模型

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source →

📝 Limitations & Considerations

  • • Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • • VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • • FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
2.3KDownloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--neptunite--moodydesiremix_gguf
slug
neptunite--moodydesiremix_gguf
source
huggingface
author
neptunite
license
creativeml-openrail-m
tags
gguf, stable-diffusion, flux, flux-2-klein, text-to-image, comfyui, base_model:black-forest-labs/flux.2-klein-9b, license:creativeml-openrail-m, region:us

⚙️ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
text-to-image

📊 Engagement & Metrics

downloads
2,278
stars
0
forks
0

Data indexed from public sources. Updated daily.