Back to Qwen3TS LLM node
Profil d'exécution
Description de la source
!!! Before installing custom nodes from manager you need to install this one from Git url
https://github.com/BigStationW/ComfyUI-ppm - negative prompts for Flux1, ZIT and Anima For example if you don't want to see glasses and tie on Anima, Zit and Flux1 generations add to fixed prompt window string (glasses, tie:-1)
If manager fails to find LLM and lora nodes, install them from git url - https://github.com/willmiao/ComfyUI-Lora-Manager
(Automatic setup currently supports Windows x64 CUDA 13 only. Other platforms require manual setup of llama.cpp release binaries.)
Commentaire généré par l’IA
Explication générée par l’IA à partir des détails de la source et de la configuration. Les suggestions sont clairement signalées.
This ComfyUI workflow is for creating and editing images from text prompts and one or more input images; it can produce text-to-image, image-to-image, inpainted, and outpainted results, plus face swaps, SeedVR2 upscaling, Edit-model ControlNet use, and LLM-assisted image captions
It supports Z-Image, Krea-2, Ernie image, MS Lens, Flux, Flux 2, Flux 2 Klein, Anima, Qwen Image, Qwen Image Edit, SDXL/Pony, Chroma, and Lumina-Image 2.0.
Outpainting is used in Edit/Kontext mode, while ControlNet is limited to Edit models in the image-to-image group.
Enter a text prompt for text-to-image, or load one image or multiple images for image-to-image and Edit/Kontext work.
Each prompt group has a Fixed section that stays at the beginning; when enabled, the LLM can improve the User Prompt, and image-to-image prompts must be copied manually from the LLM group.
Install ComfyUI-ppm from Git before installing custom nodes through the manager; if the manager cannot find the LLM or LoRA nodes, install ComfyUI-Lora-Manager from Git.
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Automatic ComfyUI-LLM-text-processor setup supports Windows x64 with CUDA 13; other platforms require manual installation of llama.cpp release binaries.
Named node packs are comfyui-gguf, comfyui-lora-manager, rgthree-comfy, cg-use-everywhere, comfyui-easy-use, RES4LYF, comfyui-kjnodes, crt-nodes, comfyui-crystools, and comfyui-custom-scripts.
Named model files are qwen_3_4b.safetensors, Qwen3-4B-Q8_0.gguf, z_image_turbo_bf16.safetensors, and z_image_turbo-Q8_0.gguf.
For LLM use, the workflow names Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf and mmproj-Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-BF16.gguf for 8 Gb VRAM; for 12+ Gb VRAM, it names Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf with mmproj-Qwen3.6-35B-A3B-Unc全s
For LLM features, place model files in ComfyUI/models/LLM and system-prompt files in ComfyUI/models/LLM/prompts, including LLM-system.txt and LLM-system-SDXL.txt.
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Sage Attention can be enabled in the ComfyUI launch arguments; for Anima, ZIT, and Flux1, the Fixed prompt can use (glasses, tie:-1) as an example for excluding glasses and ties.
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Face swapping may be imperfect, so review those results before use.
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Before setup, verify the exact names and presence of every node pack and model file listed for this workflow in your ComfyUI installation.
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Sources
1 sourceExtraits de sources
2 extraitsSource context: 8950 downloads · Type Workflows · Base model ZImageTurbo
Workflow can be used with Sage Attention enabled in Comfyui launch arguments (it can be easily installed from https://github.com/wildminder/AI-windows-whl?tab=readme-ov-file with no need to install compiler)
This workflow support
Z-Image, Krea-2, Ernie image, MS Lens, Flux, Flux 2, Flux 2 Klein, Anima, Qwen Image, Qwen Image Edit, SDXL/Pony, Chroma and Lumina-Image 2.0
txt2img, img2img, Inpaint functionality.
Face swap (not that perfect atm)
SeedVR2 upscaler
LLM to describe images and enhance prompts
ControlNet only for Edit models in img2img group (just describe your image in prompt and add some instruction like "use input image as normal map reference")
Outpainting in Edit/Kontext mode
safetensor, gguf and svdq (Nunchaku) checkpoints
Powerful multi Lora loader (Lora manager)
Face After Detailer
Multi or single images load for Edit/Kontext
LLM Models:
VRAM 8 Gb:
Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf
mmproj-Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-BF16.gguf
VRAM 12+ Gb:
Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf
mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf
or
Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf
mmproj-Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-f16.gguf
Put models and folder with system prompt here:
📂 ComfyUI/ ├── 📂 models/ │ └── 📂 LLM/ │ ├── Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf │ ├── mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf │ └── 📂 prompts/ │ ├── LLM-system.txt │ ├── LLM-system-SDXL.txt
Starting from v8.0, it is possible to enhance T2I prompts on the fly using switches in the T2I group. You still need to manually copy and paste prompts from the LLM group to the I2I group, but you can directly describe Image 1 loaded in the I2I block.
Follow the short block notes for more information.
User prompts in both groups are now divided into two parts. The first part (Fixed) is never passed to the LLM block for processing and will always remain unchanged at the beginning of the prompt. The second part (User Prompt) can be passed to the LLM (if enabled) and improved.
Estimation des besoins VRAM
Estimation indisponible
11,1 GB sur 2 de 4 fichiers de modèle. Total des fichiers du modèle + 25 % de surcharge de chargement + 2 Go de tampon d'exécution, arrondi à l'unité supérieure.
Exigences
Exigences 14Text encoder · Civitai · 2168935 · Z Image Turbo (Turbo)
Text encoder · 4.37 GB · Hugging Face · Cialtion/SimpleLove
z_image_turbo_bf16.safetensors
Fichier non vérifiéCheckpoint · Civitai · 2168935
Checkpoint · 6.73 GB · GGUF · q8_0 · Unknown
Pack de nœud · Registry
Pack de nœud · Registry
Source context: 8841 downloads · Type Workflows · Base model ZImageTurbo
Pack de nœud · Registry
Pack de nœud · Registry
comfyui-gguf
PossiblePack de nœud · Registry
Pack de nœud · Registry
Pack de nœud · Registry
Pack de nœud · Registry
Pack de nœud · Registry
Pack de nœud · Registry