Since version 11.0, the separate model groups that had to be disabled or enabled have been replaced by a single universal loader and presets selector. There are several example presets included in the workflow, but you can create any number of your own using any combination of models, CLIPs, CFG, steps, and more. Just set your own paths to <code>.safetensors</code> or <code>.gguf</code> models and click "Save" or "Save As" to create a new preset with a new name and settings. You can also store a selected list of LoRAs in the Lora Manager recipes section (there is a "Save to recipe" action in the right-click menu of the LoRA list in the frontend). Note: If SDXL switch is enabled, unet, clip and vae settings are ignored.If manager fails to find LLM and lora nodes, install them from git url - <a target="_blank" rel="ugc" href="https://github.com/willmiao/ComfyUI-Lora-Manager">https://github.com/willmiao/ComfyUI-Lora-Manager</a>LLM node: <a target="_blank" rel="ugc" href="https://github.com/KingManiya/ComfyUI-LLM-text-processor">https://github.com/KingManiya/ComfyUI-LLM-text-processor </a>(Automatic setup currently supports Windows x64 CUDA 13 only. Other platforms require manual setup of llama.cpp release binaries.)Workflow can be used with Sage Attention enabled in Comfyui launch arguments (it can be easily installed from <a target="_blank" rel="ugc" href="https://github.com/wildminder/AI-windows-whl?tab=readme-ov-file">https://github.com/wildminder/AI-windows-whl?tab=readme-ov-file</a> with no need to install compiler)New node packs since 11.0: <a target="_blank" rel="ugc" href="https://github.com/chanon/comfyui-obvpm">https://github.com/chanon/comfyui-obvpm</a> (presets selector) (needs to be updated to latest version for v.11.3) and <a target="_blank" rel="ugc" href="https://github.com/nexusfinancial-dev/ComfyUI-AutoMultiGPU">https://github.com/nexusfinancial-dev/ComfyUI-AutoMultiGPU</a> (universal model loader with OOM protection)New node pack since 10.4 <a target="_blank" rel="ugc" href="https://github.com/orex2121/comfyui-OreX">https://github.com/orex2121/comfyui-OreX</a> with many useful nodes (currently using only style selector)This workflow support Nodes 2.0 and:<ul><li>Qwen Image 2.1, Z-Image, Krea-2, Flux, Flux 2, Flux 2 Klein, Anima, Qwen Image, Qwen Image Edit, SDXL/Pony, txt2img, img2img, Inpaint functionality.</li><li>Presets selector.</li><li>Shortcuts for fast navigation. Try to press 0,1,2,s,u,l buttons</li><li>Face swap (not that perfect atm)</li><li>Krea-2 generation with image (or images) reference</li><li><s>Double sampling (switch under sampler)</s></li><li>LLM to describe images and enhance prompts</li><li>SD Upscale (recommended model <a target="_blank" rel="ugc" href="https://huggingface.co/Acly/Omni-SR">https://huggingface.co/Acly/Omni-SR</a>)</li><li>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")</li><li>Outpainting in Edit/Kontext mode</li><li>safetensor and gguf checkpoints and text encoders</li><li>AfterDetailer</li><li>Powerful multi Lora loader (Lora manager)</li><li>Multi or single images load for Edit/Kontext/Krea Reference</li></ul><h3 id="llm-models:">LLM Models:</h3>VRAM 8 Gb:<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf">Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive/resolve/main/mmproj-Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-BF16.gguf">mmproj-Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-BF16.gguf</a></li></ul>VRAM 12+ Gb:<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf">Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf">mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf</a></li></ul>or<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive/resolve/main/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf">Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive/resolve/main/mmproj-Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-f16.gguf">mmproj-Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-f16.gguf</a></li></ul><h3 id="put-models-and-folder-with-system-prompt-here:">Put models and folder with system prompt here:</h3><pre><code>📂 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</code></pre>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.

All-in-One. Qwen Image 2.1, Z-Image, Krea2, Klein, t2i, i2i, controlNet, inpaint, outpaint, LLM, Qwen image, SDXL

<ul><li>Anima support</li><li>removed Nunchaku nodes (they are still bugged)</li><li>removed clip skip option (incompatible with Anima)</li><li>general cleanup</li></ul>

Files with SHA256: 71a0ea00e373764ff256901b63bcb14c7e4421106b5ea8be4e8760fc653c882f