A1111 To Comfyui workflow (My version) — v2.0

A1111 To Comfyui workflow (My version) is for bringing A1111-style text-to-image work into ComfyUI; it uses styles.csv, model files such as checkpoints, LoRAs, VAEs, and upscalers, plus image settings, to produce text-to-image results with adjustable resolution.

It includes a 2D resolution picker that attempts to snap output to eight ratios, wildcard support, and sliders for Steps, CFG, CLIP stop, and batch size.

It also provides controls for upscaling, a hi-res-like option, and RAM cleaning for VRAM and system memory.

The workflow requires styles.csv: place it in the ComfyUI folder and choose a saved style in the Style Loader node.

Use the controls to set resolution, Steps, CFG, CLIP stop, batch size, wildcard use, upscaling, and the hi-res-like option.

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Drag the workflow JSON into ComfyUI; if missing-node errors remain after relaunch, open Manager and select Install Missing Custom Nodes.

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To move styles from A1111, copy styles.csv from the A1111 folder root to the ComfyUI folder root, then restart ComfyUI if it was already running.

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The workflow lists these node packs: comfyui_memory_cleanup, comfyui-custom-scripts, comfyui-easy-use, comfyui-image-saver, and comfyui-lora-manager.

It also lists comfyui-mxtoolkit, comfyui-styles_csv_loader, comfyui-ux-nodes, mikey_nodes, and rgthree-comfy.

The listed model file is novaFurryXL_ilV180A.safetensors, labeled as a checkpoint.

If you already have model folders from A1111 or another setup, point extra_model_paths.yaml to checkpoints, loras, VAE, upscale_models, clip_vision, and controlnet, then restart ComfyUI.

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If the LoRA Loader shows asyncio.run() cannot be called from a running event loop, the instructions suggest installing nest_asyncio and asyncio in ComfyUI’s embedded environment, then adding import nest_asyncio and nest_asyncio.apply() at the top of main.py.

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Before using it, check that your ComfyUI setup is a manual installation or fork.

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Check that novaFurryXL_ilV180A.safetensors is available in your setup before using the workflow.

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