JoyAI-Image-Edit-Diffusers
jdopensourceapache-2.0textvision

JoyAI-Image-Edit-Diffusers

Updated Nov 13, 2026
Parameters
16.3B
Context
8,192
License
apache-2.0
Updated
Nov 13, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at Q8_0
3 of 4 quantizations fit JoyAI-Image-Edit-Diffusers with real runtime overhead.
Q4_K_M
9 GB
Q5_K_M
12 GB
Q8_0
17 GB
FP16
33 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve jdopensource/JoyAI-Image-Edit-Diffusers

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

JoyAI-Image-Edit-Diffusers is an open-weight image editing model from jdopensource, published on Hugging Face in April 2026. It has 16.3B parameters and is released under the apache-2.0 license.

HardwareLink to this section

At full FP16 precision the weights need about 33 GB of memory; 8-bit quantization brings that to roughly 17 GB. Check the VRAM tiers above to see which GPUs fit it.

PopularityLink to this section

JoyAI-Image-Edit-Diffusers had 99,437 downloads on Hugging Face in the last month and has 23 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 JoyAI-Image-Edit-Diffusers need?

JoyAI-Image-Edit-Diffusers with 16.3B parameters needs approximately 9 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is JoyAI-Image-Edit-Diffusers better than other jdopensource models?

JoyAI-Image-Edit-Diffusers has 16.3B parameters with 8,192 context - a strong choice for image-editing.

What license is JoyAI-Image-Edit-Diffusers under?

JoyAI-Image-Edit-Diffusers is released under the apache-2.0 license, making it suitable for most commercial and personal projects.

What hardware runs JoyAI-Image-Edit-Diffusers well?

With 16.3B parameters, JoyAI-Image-Edit-Diffusers 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 JoyAI-Image-Edit-Diffusers?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~12 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with JoyAI-Image-Edit-Diffusers?

JoyAI-Image-Edit-Diffusers 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