🧠
Model

Control Lora

by stabilityai hf-model--stabilityai--control-lora
Nexus Index
23.0 Top 2%
P / V / C / U Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
0 DL / 30D
0.0%

By adding low-rank parameter efficient fine tuning to ControlNet, we introduce ***Control-LoRAs***. This approach offers a more efficient and compact method to bring model control to a wider variety of consumer GPUs. For each model below, you'll find: - *Rank 256* files (reducing the original ControlNet models down to Control-LoRA models) and experimental - *Rank 128* files (reducing to model down to ) Each Control...

Audited 23 FNI Score
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Hot 0 Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--stabilityai--control-lora
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__stabilityai__control_lora,
  author = {stabilityai},
  title = {Control Lora Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/stabilityai/control-lora}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
stabilityai. (2026). Control Lora [Model]. Free2AITools. https://huggingface.co/stabilityai/control-lora

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download stabilityai/control-lora

âš–ī¸ Nexus Index V16.5

23.0
ESTIMATED IMPACT TIER
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

đŸ’Ŧ Index Insight

The Free2AITools Nexus Index for Control Lora aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive


tags:

  • text-to-image
  • stable-diffusion
    license: other
    language:
  • en

Control-LoRA Model Card

Introduction

By adding low-rank parameter efficient fine tuning to ControlNet, we introduce Control-LoRAs. This approach offers a more efficient and compact method to bring model control to a wider variety of consumer GPUs.

For each model below, you'll find:

  • Rank 256 files (reducing the original 4.7GB ControlNet models down to ~738MB Control-LoRA models) and experimental
  • Rank 128 files (reducing to model down to ~377MB)

Each Control-LoRA has been trained on a diverse range of image concepts and aspect ratios.

MiDaS and ClipDrop Depth

canny

This Control-LoRA utilizes a grayscale depth map for guided generation.

Depth estimation is an image processing technique that determines the distance of objects in a scene, providing a depth map that highlights variations in proximity.

The model was trained on the depth results of MiDaS dpt_beit_large_512.

It was further finetuned on the Portrait Depth Estimation model available in the ClipDrop API by Stability AI.

Canny Edge

canny
Canny Edge Detection is an image processing technique that identifies abrupt changes in intensity to highlight edges in an image.

This Control-LoRA uses the edges from an image to generate the final image.

Photograph and Sketch Colorizer

photograph colorizer
These two Control-LoRAs can be used to colorize images.

Recolor is designed to colorize black and white photographs.

Sketch is designed to color in drawings input as a white-on-black image (either hand-drawn, or created with a pidi edge model).

Revision

photograph colorizer
Revision is a novel approach of using images to prompt SDXL.

It uses pooled CLIP embeddings to produce images conceptually similar to the input. It can be used either in addition, or to replace text prompts.

Revision also includes a blending function for combining multiple image or text concepts, as either positive or negative prompts.

Inference

Control-LoRAs have been implemented into ComfyUI and StableSwarmUI

Basic ComfyUI workflows (using the base model only) are available in this HF repo. Custom nodes from Stability are available here.

Recolor example on ComfyUI: comfyui recolor

Canny edge on StableSwarmUI: swarmui recolor

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • â€ĸ Source: Unknown
Top Tier

Social Proof

HuggingFace Hub
953Likes
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
hf-model--stabilityai--control-lora
source
huggingface
author
stabilityai
tags
text-to-imagestable-diffusionenlicense:otherregion:us

âš™ī¸ Technical Specs

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

📊 Engagement & Metrics

likes
953
downloads
0

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)