latent-consistency/lcm-lora-sdv1-5
text-to-image model by latent-consistency
From the publisher
Model card & documentation
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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 runwayml/stable-diffusion-v1-5 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 SDv1-5 or deviratives. Here we use Lykon/dreamshaper-7. Next, the scheduler needs to be changed to LCMScheduler and we…
Read the full model card ↗ · Preview checked 2026-10-28T02:45:51.762Z
Inside the original model card — Document outline
- Latent Consistency Model (LCM) LoRA: SDv1-5
- Usage
- Text-to-Image
- Image-to-Image
- Inpainting
- ControlNet
- Speed Benchmark
- Training
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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-sdv1-5 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)
- 145,373
- Cumulative likes
- 536
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- openrail++
- Access
- Not gated by Hugging Face
- Created
- 2023-11-07T11:20:24.000Z
- Last modified
- 2023-11-16T16:01:30.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: runwayml/stable-diffusion-v1-5
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:31.475Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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