latent-consistency/lcm-lora-sdxl

text-to-image model by latent-consistency

Open original source ↗

Older snapshot: check the original source for current information.

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

Latent Consistency Model (LCM) LoRA was proposed in LCM-LoRA: A universal Stable-Diffusion Acceleration Module by Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu et al. It is a distilled consistency adapter for stable-diffusion-xl-base-1.0 that allows to reduce the number of inference steps to only between 2 - 8 steps. LCM-LoRA is supported in 🤗 Hugging Face Diffusers library from version v0.23.0 onwards. To run the model, first install the latest version of the Diffusers library as well as peft, accelerate and transformers. audio dataset from the Hugging Face Hub: Note: For detailed usage examples we recommend you to check out our official LCM-LoRA docs The adapter can be loaded with it's base model stabilityai/stable-diffusion-xl-base-1.0. Next, the scheduler needs to be changed to LCMScheduler and we can reduce the number of inference steps to just 2 to 8 steps. Please make sure to either disable guidancescale or use values…

latent-consistency/lcm-lora-sdxl on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-29T10:53:47.869Z

Inside the original model card — Document outline
  1. Latent Consistency Model (LCM) LoRA: SDXL
  2. Usage
  3. Text-to-Image
  4. Inpainting
  5. Combine with styled LoRAs
  6. ControlNet
  7. T2I Adapter
  8. Speed Benchmark
  9. Training

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: openrail++. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

latent-consistency/lcm-lora-sdxl is a text-to-image model repository published by latent-consistency on Hugging Face. The source reports the diffusers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-image
Library
diffusers
Recent downloads (30 days)
46,204
Cumulative likes
774
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
openrail++
Access
Not gated by Hugging Face
Created
2023-11-09T00:34:02.000Z
Last modified
2023-11-24T13:31:08.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: stabilityai/stable-diffusion-xl-base-1.0

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-19T06:35:18.325Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

Comfy-Org/Qwen-Image-2.1

stabilityai/stable-diffusion-xl-base-1.0

abenzerps/Qwen-Image-2.1-Uncensored-Quantized

abenzerps/Qwen-Image-2.1-Uncensored-GGUF

unsloth/Qwen-Image-2.1-GGUF

Comfy-Org/Flux-1-Dev