Skip to page content
SAVRN
Search Plan a project

Open-weight model · Text to image

qwen-project

by Ayush Kandwal kanayu03/qwen-project

qwen-project is an open-weight model for text to image from Ayush Kandwal, released under Apache License 2.0. Its published files total 1.6 TB.

NOTICE: After ~23 iterations of this "all in one", I'm winding down providing updates. v19 is likely best for consistency in edits, while v23 is likely best for prompt adherence. I feel this project has peaked as new image edit models are being released.

Parameters—
Context—
Weights1.6 TB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Ayush Kandwal, published under apache-2.0, revision 3a2e9f3a2286.

NOTICE: After ~23 iterations of this "all in one", I'm winding down providing updates. v19 is likely best for consistency in edits, while v23 is likely best for prompt adherence. I feel this project has peaked as new image edit models are being released. Thank you for all the feedback and help! Merge of accelerators, VAE and CLIP to allow for easy and fast Qwen Image Edit (and text to image) support. Use a "Load Checkpoint" node. 1 CFG, 4 step. Use the "TextEncodeQwenImageEditPlus" node for input images (which are optional) and prompt. Provide no images to just do pure text to image. FP8 precision. Both NSFW and SFW models are available! v4 and older combine both NSFW and SFW uses in one…

Read Ayush Kandwal's full model card

NOTICE: After ~23 iterations of this "all in one", I'm winding down providing updates. v19 is likely best for consistency in edits, while v23 is likely best for prompt adherence. I feel this project has peaked as new image edit models are being released. Thank you for all the feedback and help!

Merge of accelerators, VAE and CLIP to allow for easy and fast Qwen Image Edit (and text to image) support.

Use a "Load Checkpoint" node. 1 CFG, 4 step. Use the "TextEncodeQwenImageEditPlus" node for input images (which are optional) and prompt. Provide no images to just do pure text to image. FP8 precision.

Both NSFW and SFW models are available! v4 and older combine both NSFW and SFW uses in one model, but performance is subpar. v5+ separates out a NSFW and SFW version, so please pick which model for your use case.

Having problems with scaling, cropping or zooming? Scaling images in the TextEncoderQwenEditPlus node is the problem. There are many workarounds, but I prefer just fixing the node and I've supplied my version in the Files area. It also supports up to 4 input images. Use the "v2" version and supply the same latent you are sampling with (usually an empty latent), which provides sizing for informed scaling.

V1: Uses Qwen-Image-Edit-2509 & 4-step Lightning v2.0. Includes a touch of NSFW LORAs, so it should be a very versatile model for both SFW and NSFW use. sa_solver/beta recommended, but euler_a/beta and er_sde/beta can give decent results too.

V2: Now uses a mix of Qwen-Image-Edit accelerators, mixing both 8 and 4 steps in one. Also significantly tweaked the NSFW LORAs for better all-around SFW and NSFW use. sa_solver/simple strongly recommended.

V3: Uses new Qwen-Image-Edit lightning LORAs for much better results. Also significantly adjusted NSFW LORA mix, removing poor ones and increasing quality ones. sa_solver/beta highly recommended.

V4: Mix of many Qwen Edit and base Qwen accelerators, which I think gives better results. Added a touch of a skin correction LORA. 4-5 steps: use sa_solver/simple, lcm/beta or euler_a/beta and 6-8 steps: use lcm/beta or euler_a/beta only.

V5: NSFW and SFW use cases interfered with eachother too much, so I separated them to specialize in their use cases. Updated "snofs" and "qwen4play" NSFW LORAs + Meta4 for v5.2, then added "Qwen Image NSFW Adv." by fok3827 for v5.3. SFW: lcm/beta or er_sde/beta generally recommended and NSFW: lcm/normal recommended. Prompting "Professional digital photography" helps reduce the plastic look.

V6: Attempt at valiantcat/Qwen-Image-Edit-MeiTu and partially chestnutlzj/Edit-R1-Qwen-Image-Edit-2509 as a base model. However, this was a broken merge. It appears using them as LORAs may work better and I need to cook some more to find something useable. Stay on v5 until something newer comes out.

V7: valiantcat/Qwen-Image-Edit-MeiTu and chestnutlzj/Edit-R1-Qwen-Image-Edit-2509 included as LORAs. Accelerator and NSFW LORAs tweaks (v7.1 is more NSFW-heavy). This seemed to be working much better. lcm/sgm_uniform recommended for 4-6 steps, lcm/normal for 7-8 steps.

V8: Using BF16 to load in FP32 LORAs, only to scale down to FP8 for saving. This seems to help resolve "grid" issues and improves quality. Tweaked accelerator amounts. Significant NSFW LORA tweaks (and new SNOFS). euler_a/beta recommended for 4-6 steps, lcm/normal for 7-8 steps.

V9: OK, I lied. "Rebalancing" and "Smartphone Photoreal" LORAs really do help image generations for both SFW and NSFW purposes. If you don't want those LORAs integrated (like making anime or cartoons), use the "Lite" versions. Also, I had a typo in accelerators in V8 that has been fixed for V9. Tweaked NSFW LORAs and significantly reduced how heavy they need to be applied, which should hopefully help consistency. euler_a/beta recommended for 4-6 steps. More steps usually work better with sgm_normal or normal schedulers.

V10: This is kinda a mix of v5 and v9. MeiTu and Edit-R1 dropped. I'm keeping the "Rebalancing" and "Smartphone" LORAs at half strengths which I think help skin, variety and composition. NSFW LORAs closely resemble v5.3 (but with updated v1.2 snofs). v10.4 NSFW tweaked to improve character consistency and penises. euler/beta strongly recommended for 4-8 steps but euler_a/sgm_uniform recommended for NSFW v10.2+.

V11: Tweaked NSFW LORAs, using fewer to rely on more compatible ones instead. Spread out "realism" LORAs to more at lower strength. euler/beta recommended for both NSFW and SFW, but feel free to experiment with others!

V12: Getting inpatient waiting for Qwen Edit 2511 (2512?), so went looking for more LORAs and tweaks to reduce the "plastic" look. euler/sgm_uniform for SFW and er_sde/sgm_uniform for NSFW, although experimentation is healthy is this context.

V13: Tweaks to included LORAs in an attempt to reduce gridlines and increase character consistency (without returning the plastic look). er_sde/beta recommended.

V14: Trimmed LORAs which may have been interfereing with character consistency (while hopefully still reducing the "plastic" look). Updated new SNOFS v1.3 for NSFW and trimmed poor NSFW LORAs too. er_sde/beta recommended.

V14.1: Added "InSubject" LORA to both SFW and NSFW merges to improve character consistency. Otherwise, generally the same as v14. er_sde/beta recommended.

V15: Now using Qwen-Edit-2511! Slight tweaks to LORAs. Skipped making NSFW merge because this base merge wasn't that great. er_sde/beta recommended, but please experiment.

V16: Noticed some degradation from previous LORAs (mostly "realism" LORAs) that are not needed/compatible with 2511, so slimmed them down. Further tweaks to NSFW LORAs (added "Sex-tacular"). er_sde/beta recommended.

V17: Merged 2509 and 2511 together with the goal of correcting contrast issues and LORA compatibility with 2511 while maintaining character consistency. euler_ancestral/beta highly recommended.

V18: More 2511, a bit less 2509. Different merging method that I think corrects an issue I was having with many input images. euler_ancestral/beta recommended

V19: New Lightning Edit 2511 8-step mixed in (still recommend 4-8 steps). Also a new NSFW LORA (GNASS for Qwen 2512) that worked quite well in the NSFW merge. er_sde/beta or euler_ancestral/beta recommended.

V20: Returning to 100% Qwen Edit 2511. Tweaks to accelerators to hopefully give better results without 2509 mixed in. Added a minor amount of "BestFaceSwap". Tweaks to realism LORAs and significant tweaks to NSFW LORAs. euler_ancestral/beta recommended

V21: Removed older "realism" LORAs and added new 2511 "anything2real" and "anime2real" LORAs in hopes of improving skin texture and overall edit functionality. Tweaks to NSFW LORA weights. If you are soley interested in flat 2D anime, v20 or v19 may be suited better (this trends more realistic) euler_a/beta recommended

V22: Removed "anything2real" and "anime2real" which were stomping styles and causing inconsistencies. Added small amounts of JibMix Skin and qwen-skin-edit v1.1 to combat 'plastic' instead. Significant tweaks to NSFW LORA weights again. euler_ancestral/beta recommended

V23: Tweaks to skin and realism LORAs (removed JibMix which seemed to cause oddities). Reduced a "plastic" NSFW LORA that was making realistic results more difficult in that merge. This one was feeling pretty good. euler_ancestral/beta recommended

Identity and Version

Repository
kanayu03/qwen-project
Publisher
Ayush Kandwal
Task
Text to image
Modality
Image
Library
comfyUI
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
3a2e9f3a22867a9da743d8e9f622da8e2c678274
First published
2026-10-13
Last updated
2026-10-13

Files and Weights

63 files, 1.6 TB in total. The weights are 54 files totalling 1.6 TB in safetensors.

Weights54 files · 1.6 TB
Configuration3 files · 19.6 KB
Documentation2 files · 8.8 KB
Repository4 files · 1.5 KB
Every file
FileTypeSizeSHA-256
Qwen-Rapid-AIO-v1-8step.safetensorsWeights29.0 GB c98d037873f2
Qwen-Rapid-AIO-v1.safetensorsWeights29.0 GB 826b842be709
Qwen-Rapid-AIO-v2.safetensorsWeights29.0 GB 1c38a63e347c
Qwen-Rapid-AIO-v3.safetensorsWeights29.0 GB 24d0780a1349
Qwen-Rapid-AIO-v4.safetensorsWeights29.0 GB fae21038986a
v10/Qwen-Rapid-AIO-NSFW-v10.2.safetensorsWeights28.4 GB b8f6a2d91475
v10/Qwen-Rapid-AIO-NSFW-v10.4.safetensorsWeights28.4 GB b6f4471a0991
v10/Qwen-Rapid-AIO-NSFW-v10.safetensorsWeights28.4 GB df28b664316e
v10/Qwen-Rapid-AIO-SFW-v10.safetensorsWeights28.4 GB 3bfa90111a1a
v11/Qwen-Rapid-AIO-NSFW-v11.1.safetensorsWeights28.4 GB 331c0841eb35
v11/Qwen-Rapid-AIO-NSFW-v11.3.safetensorsWeights36.2 GB ec848e22f66b
v11/Qwen-Rapid-AIO-NSFW-v11.4.safetensorsWeights28.4 GB a0e3b3a56553
v11/Qwen-Rapid-AIO-NSFW-v11.safetensorsWeights28.4 GB 04321f9667ad
v11/Qwen-Rapid-AIO-SFW-v11.safetensorsWeights28.4 GB 782232a127d4
v12/Qwen-Rapid-AIO-NSFW-v12.safetensorsWeights28.4 GB 1528d7c9d2d2
v12/Qwen-Rapid-AIO-SFW-v12.safetensorsWeights28.4 GB b690e5c1efb6
v13/Qwen-Rapid-AIO-NSFW-v13.safetensorsWeights28.4 GB 11a03cf20a25
v13/Qwen-Rapid-AIO-SFW-v13.safetensorsWeights28.4 GB 53691c3f6655
v14/Qwen-Rapid-AIO-NSFW-v14.1.safetensorsWeights28.4 GB 12793b4ffc2a
v14/Qwen-Rapid-AIO-NSFW-v14.safetensorsWeights28.4 GB a4d9f208f3c0
v14/Qwen-Rapid-AIO-SFW-v14.1.safetensorsWeights28.4 GB 776d5c83591c
v14/Qwen-Rapid-AIO-SFW-v14.safetensorsWeights28.4 GB 10e80d81b4ac
v15/Qwen-Rapid-AIO-SFW-v15.safetensorsWeights28.4 GB 7e86fc8cb781
v16/Qwen-Rapid-AIO-NSFW-v16.safetensorsWeights28.4 GB 8260ea18d81b
v16/Qwen-Rapid-AIO-SFW-v16.safetensorsWeights28.4 GB ec79612014a4
v17/Qwen-Rapid-AIO-NSFW-v17.safetensorsWeights28.4 GB c4fb2ecc3789
v17/Qwen-Rapid-AIO-SFW-v17.safetensorsWeights28.4 GB 426ec039bb5f
v18/Qwen-Rapid-AIO-NSFW-v18.1.safetensorsWeights28.4 GB e38652723bfc
v18/Qwen-Rapid-AIO-NSFW-v18.safetensorsWeights28.4 GB 0e81c86567a7
v18/Qwen-Rapid-AIO-SFW-v18.safetensorsWeights28.4 GB 5728e1640b63
v19/Qwen-Rapid-AIO-NSFW-v19.safetensorsWeights28.4 GB ba7157551570
v19/Qwen-Rapid-AIO-SFW-v19.safetensorsWeights28.4 GB 7113d4b1c021
v20/Qwen-Rapid-AIO-NSFW-v20.safetensorsWeights28.4 GB c0bf66bfd005
v20/Qwen-Rapid-AIO-SFW-v20.safetensorsWeights28.4 GB 8ff57a0c91a4
v21/Qwen-Rapid-AIO-NSFW-v21.safetensorsWeights28.4 GB 84c5725e8a8b
v21/Qwen-Rapid-AIO-SFW-v21.safetensorsWeights28.4 GB 18690c4ec33f
v22/Qwen-Rapid-AIO-NSFW-v22.safetensorsWeights28.4 GB 4e8d7689ceac
v22/Qwen-Rapid-AIO-SFW-v22.safetensorsWeights28.4 GB 8d419320329e
v23/Qwen-Rapid-AIO-NSFW-v23.safetensorsWeights28.4 GB fdb919fc81be
v23/Qwen-Rapid-AIO-SFW-v23.safetensorsWeights28.4 GB 060c54a0deda
v5/Qwen-Rapid-AIO-NSFW-v5.1.safetensorsWeights29.0 GB 33c8fbd5e972
v5/Qwen-Rapid-AIO-NSFW-v5.2.safetensorsWeights29.0 GB 78352adb263f
v5/Qwen-Rapid-AIO-NSFW-v5.3.safetensorsWeights29.0 GB 9ee5f6b05158
v5/Qwen-Rapid-AIO-NSFW-v5.safetensorsWeights29.0 GB dee3e6bb80ad
v5/Qwen-Rapid-AIO-SFW-v5.safetensorsWeights29.0 GB aa1ca5acdac9
v7/Qwen-Rapid-AIO-NSFW-v7.1.safetensorsWeights29.0 GB 06c2c34a3af7
v7/Qwen-Rapid-AIO-NSFW-v7.safetensorsWeights29.0 GB ce31dcd612dc
v7/Qwen-Rapid-AIO-SFW-v7.safetensorsWeights29.0 GB 064ff1688134
v8/Qwen-Rapid-AIO-NSFW-v8.safetensorsWeights28.4 GB 14c6f75705eb
v8/Qwen-Rapid-AIO-SFW-v8.safetensorsWeights28.4 GB faefffe40b73
v9/Qwen-Rapid-AIO-LiteNSFW-v9.safetensorsWeights28.4 GB bf094f34f335
v9/Qwen-Rapid-AIO-LiteSFW-v9.safetensorsWeights28.4 GB 3a32c001f01c
v9/Qwen-Rapid-AIO-NSFW-v9.safetensorsWeights28.4 GB 98835fcbb3c2
v9/Qwen-Rapid-AIO-SFW-v9.safetensorsWeights28.4 GB 3db37747f15c
Qwen-Rapid-AIO.jsonConfiguration9.2 KB —
fixed-textencode-node/nodes_qwen.pyConfiguration5.3 KB —
fixed-textencode-node/nodes_qwen.v2.pyConfiguration5.1 KB —
README.mdDocumentation7.8 KB —
fixed-textencode-node/README.mdDocumentation951 B —
.gitattributesRepository1.5 KB —
fixed-textencode-node/.can_replace_comfyui_node_with_this.v2_is_bestRepository —
v15/.no_nsfw_version_for_thisRepository —
v6/.this_was_broken_use_other_versionsRepository —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
1.6 TB
Download from Ayush Kandwal

Released by Ayush Kandwal through its official repository on Hugging Face. Read the license.

Built From

  • Derived from Qwen/Qwen-Image-Edit-2511

Memory Requirements

PrecisionWeights in memory
As published1.6 TB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About qwen-project

Can I use qwen-project commercially?

Yes. qwen-project is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

Similar Models

GGUF, Safetensors, and MLX quantized formats of Qwen/Qwen-Image-2.1 for local image generation using the original upstream base weights. Q4KM is recommended for the best balance of size and quality for GGUF. INT8 ConvRot and NVFP4 offer high performance on supported GPUs, while MLX formats are optimized for Apple Silicon. Companion model files packaged for ComfyUI: Use the model with ComfyUI and ComfyUI-GGUF. All required companion files (GGUF transformer, text encoder, and VAE) are hosted directly in this repository. Download the files and place them in their respective ComfyUI directories: 1. Install ComfyUI-GGUF: Use the maintained fork with native Qwen-Image 2.1 support by cloning…

Open weights other gguf

GGUF quantizations of Qwen/Qwen-Image-2.1 for local image generation using the original upstream base weights. Q4KM is recommended for the best balance of size and quality. Companion model files packaged for ComfyUI: Use the model with ComfyUI and ComfyUI-GGUF. All required companion files (GGUF transformer, text encoder, and VAE) are hosted directly in this repository. Download the files and place them in their respective ComfyUI directories: 1. Install ComfyUI-GGUF: Use the maintained fork with native Qwen-Image 2.1 support by cloning leejet/ComfyUI-GGUF into your custom nodes: (Note: If you have the older city96/ComfyUI-GGUF installed and encounter an Unknown model architecture! error…

Open weights other gguf

Model · Text to image

Qwen-Image-2.1-GGUF

Unsloth AI

This is a GGUF quantized version of Qwen-Image-2.1. unsloth/Qwen-Image-2.1-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. - Important layers are upcasted to higher precision, per tensor, from a measured sensitivity scan. - Run these with Unsloth Desktop, stable-diffusion.cpp and more. A GGUF is the denoiser only, so it needs the VAE and the Qwen3-VL text encoder alongside it. See below for image editing operating inside of Unsloth Desktop: Rendered with the Q4KM denoiser and the Q4KM text encoder, 1024x1024, 20 steps, cfg 6.0, euler. We are excited to open-source Qwen-Image-2.1, a unified text-to-image generation and image editing model in the Qwen family. With just 7B…

Open weights other

Model · Text to image

Z-Image-Turbo-GGUF

Unsloth AI

Welcome to the official repository for the Z-Image(造相)project! Z-Image is a powerful and highly efficient image generation model with 6B parameters. Currently there are three variants: - Z-Image-Turbo – A distilled version of Z-Image that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations). It offers sub-second inference latency on enterprise-grade H800 GPUs and fits comfortably within 16G VRAM consumer devices. It excels in photorealistic image generation, bilingual text rendering (English & Chinese), and robust instruction adherence. - Z-Image-Base – The non-distilled foundation model. By releasing this checkpoint, we aim to unlock the full potential…

Open weights apache-2.0 ggml

Model · Text to image

Juggernaut-XL-v9

RunDiffusion

The SDXL ecosystem is the single most mature corner of open image generation, and v9 is its most refined photorealism checkpoint. Choose Juggernaut XL v9 when you want: - Photorealism that holds up under scrutiny — skin texture, micro-contrast, and natural lighting that translates from concept to print. - Reasonable hardware — runs comfortably on 8 GB of VRAM, unlike newer DiT-based models that demand 16+ GB. - The full SDXL toolbox — drop-in compatibility with the thousands of SDXL ControlNets, IP-Adapter variants, AnimateDiff, regional prompting tools, and LoRAs already in your workflow. - Battle-tested reliability — 26+ months in production, used in agencies, studios, and shipping…

Open weights creativeml-openrail-m diffusers

Model · Text to image

Qwen-Image-Lightning

Lightx2v

Please refer to Qwen-Image-Lightning github to learn how to use the models. make sure to install diffusers from main (pip install git+https://github.com/huggingface/diffusers.git)

Open weights apache-2.0 diffusers