Zohac - text2img - photo
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Model description
ComfyUI Workflow for FLUX.1 Dev - Two-Pass Text-to-Image Generation
This advanced workflow for ComfyUI is specifically designed for FLUX.1 Dev, a text-to-image AI focused on generating high-quality images from textual prompts. This setup is structured to achieve detailed and refined results through a series of comprehensive processing steps.
Key Features:
Two-Pass Generation: The workflow applies a double-pass on each image to maximize realism and detail accuracy, producing a more polished and coherent outcome that aligns closely with the input prompt.
Face and Hand Correction: This pipeline includes correction modules to enhance facial features and hand details, two challenging areas for AI image generation.
Upscaler: An upscaling module is integrated to improve the final image resolution without compromising quality, making the results suitable for high-resolution displays or prints.
Refinement: The refinement stage further adjusts details for a more precise and visually pleasing output.
Civitai Publishing Module: A dedicated group streamlines publishing on Civitai by automatically incorporating essential generation details, such as:
Model used
CFG (Guidance) value
Sampler selected
Prompts (positive and negative)
Seed
Resolution
Model Placement Instructions:
Checkpoint: Place in
path to comfyui/models/checkpointsLoRA Models: Place in
path to comfyui/models/lorasBBox Models: Place in
path to comfyui/models/ultralytics/bboxSAM Models: Place in
path to comfyui/models/samsUpscaler Models: Place in
path to comfyui/models/upscale_models
Customizable Configurations
This workflow offers adjustable settings, including model selection, steps, CFG, sampler, and scheduler to meet specific needs for each image generation project.
Custom Nodes
Troubleshooting:
If you experience issues with the LoRA Stacker nodes, right-click on each "LoRA Stacker" node and select "Reload Node." Sometimes, refreshing your browser or even restarting ComfyUI may be necessary to resolve these issues.








