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This is a comprehensive workflow designed for the Z-Image-Turbo model. It is set up to handle both standard usage and low-VRAM configurations via GGUF support.
Profil d'exécution
Description de la source
This is a comprehensive workflow designed for the Z-Image-Turbo model. It is set up to handle both standard usage and low-VRAM configurations via GGUF support.
Workflow Features:
Dual Model Support: Easily switch between the standard .safetensors model and quantized GGUF versions using the provided switches.
Mode Toggling: Includes a "Fast Groups Bypasser" setup to quickly toggle between Text-to-Image and Image-to-Image modes without rewiring.
Built-in Upscaling: Includes an upscaling pass using LexicaRRDBNet for sharper final output.
Resolution Management: Uses ResolutionMaster to ensure your aspect ratios are correct.
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.
Use this ComfyUI workflow with Z-Image-Turbo to create images from text prompts or in Image-to-Image mode, then apply a built-in upscaling pass; you provide a text prompt and required model files, select a mode, and the output is a generated image.
Switch between standard .safetensors model files and quantized GGUF files; GGUF support is described for low-VRAM configurations.
Fast Groups Bypasser switches between Text-to-Image and Image-to-Image without rewiring. ResolutionMaster manages aspect ratios, and LexicaRRDBNet supplies an upscaling pass.
Enter your prompt in the CLIP Text Encode node and run the workflow.
Suggestion · non vérifié
The generated image can pass through the LexicaRRDBNet upscaling pass for a sharper final output.
Use ComfyUI Manager to install missing custom nodes, including rgthree, KJNodes, and GGUF.
Suggestion · non vérifié
The named model files are z_image_turbo_bf16.safetensors or z_image_turbo-Q5_K_M.gguf, Qwen3-4B-UD-Q5_K_XL.gguf, z_image_turbo_vae.safetensors, 2xLexicaRRDBNet_Sharp.pth, and clip_vision_h.safetensors.
The listed node packs are comfyui_layerstyle, ComfyUI-GGUF, comfyui-kjnodes, comfyui-resolution-master, and rgthree-comfy.
Use the left-side switch to choose the standard UNET Loader or GGUF Loader.
Suggestion · non vérifié
For Image-to-Image, adjust denoise strength in Sampler Node 61.
Suggestion · non vérifié
Before installing ComfyUI-GGUF, verify the package name that provides the workflow's GGUF nodes.
Suggestion · non vérifié
License information is not specified for this workflow.
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Sources
1 sourceExtraits de sources
1 extraitSource context: 2339 downloads · Type Workflows · Base model ZImageTurbo
Required Models: To use this workflow fully, you will need the following files (links provided in the workflow's internal notes):
UNET: z_image_turbo_bf16.safetensors OR z_image_turbo-Q5_K_M.gguf
CLIP: Qwen3-4B-UD-Q5_K_XL.gguf (This model uses a Qwen text encoder).
VAE: z_image_turbo_vae.safetensors
Upscaler: 2xLexicaRRDBNet_Sharp.pth (or your preferred upscaler).
How to use:
Select your Model: Use the switch on the far left to choose between the GGUF Loader or the Standard UNET Loader.
Choose your Mode: Use the "Fast Groups Bypasser" (the colorful list of buttons) to activate "Text to Image" or "Image To Image".
Important: If using Image to Image , ensure you adjust the denoise strength in the Sampler (Node 61) to your liking.
Prompt & Queue: Enter your text in the CLIP Text Encode node and run.
Requirements:
ComfyUI Manager (to install missing custom nodes like rgthree , KJNodes , and GGUF ).
Estimation des besoins VRAM
Estimation indisponible
Les tailles des fichiers du modèle ne sont pas encore suffisamment complètes pour calculer cette exigence.
Exigences
Exigences 112xLexicaRRDBNet_Sharp.pth
Non résoluUpscaler · Unknown
Vision model · Unknown
Qwen3-4B-UD-Q5_K_XL.gguf
Non résoluText encoder · Unknown
z_image_turbo_bf16.safetensors
Fichier non vérifiéCheckpoint · Unknown
z_image_turbo_vae.safetensors
Non résoluVAE · Unknown
z_image_turbo-Q5_K_M.gguf
Non résoluCheckpoint · Unknown
Pack de nœud · Registry
ComfyUI-GGUF
PossiblePack de nœud · Registry
Pack de nœud · Registry
Pack de nœud · Registry
Pack de nœud · Registry
