control_v11p_sd15_openpose
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
control_v11p_sd15_openpose is an open-weight image editing model from lllyasviel, published on Hugging Face in April 2023. It has 360M parameters and is released under the openrail license.
HardwareLink to this section
At full FP16 precision the weights need about 1 GB of memory; 8-bit quantization brings that to roughly 1 GB. That is small enough for most consumer GPUs, Apple Silicon Macs, and many CPUs.
PopularityLink to this section
control_v11p_sd15_openpose had 33,563 downloads on Hugging Face in the last month and has 151 likes.
Run it locallyLink to this section
The weights are on Hugging Face and load with Hugging Face Diffusers (or ComfyUI). Follow the model card for the exact setup and license terms.
Frequently asked
Quick answers to common questions
How much VRAM does control_v11p_sd15_openpose need?
control_v11p_sd15_openpose with 0.36B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is control_v11p_sd15_openpose better than other lllyasviel models?
control_v11p_sd15_openpose has 0.36B parameters with 8,192 context - a strong choice for image-editing.
What license is control_v11p_sd15_openpose under?
control_v11p_sd15_openpose is released under the openrail license, making it suitable for most commercial and personal projects.
What hardware runs control_v11p_sd15_openpose well?
With 0.36B parameters, control_v11p_sd15_openpose requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for control_v11p_sd15_openpose?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with control_v11p_sd15_openpose?
control_v11p_sd15_openpose competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec