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Magazine packaging presentation: mechanisms and practical controls
Create a magazine-in-packaging image through two generative stages, with independent cover and presentation settings.
Sd3 Medium Backup
stabilityai-nc-research-community
Topaz Bloom 2 image enhancement
Enhance an uploaded image with the workflow's fixed Topaz Bloom 2 preset and preview the enhanced result. For a first run, upload your source image and run the Pipe. The image upload is required and is the only editable control. The source configuration uses an empty prompt; its accompanying guidance says this lets the model create a prompt automatically. Prompt, seed, model selection and enhancement settings are fixed in this Pipe. No alternate modes or optional stages are exposed. Uploaded transparency is not preserved. Output scale and repeatable results are not established by the supplied source evidence. The selected output is an image preview; the original save node's PNG encoding settings do not apply to this output.
FLUX virtual try-on: mechanisms and practical controls
Create a try-on preview from a person photo and one garment reference, configure the actual styling and seed inputs, and understand the provider path and preservation limits.
Bria FIBO image edit
Edit an uploaded image with text instructions using Bria FIBO and receive one edited image in the Pipe's preview output. For a first run, upload a Source image, replace the architectural night-scene example in Edit instruction with your desired changes, and adapt Negative prompt to describe unwanted features. Leave Structured prompt empty and retain the initial Guidance and Steps values, then run the Pipe. The edit applies to the entire image. This workflow has no mask input or output-size controls, and it does not preserve uploaded transparency. The selected output returns an image preview rather than using the original SaveImage stage. The node's secondary text output is not exposed. Guidance ranges from 3 to 5; higher values make the image follow the instruction more closely. Steps sets sampling iterations from 20 to 50. Seed -1 requests fresh randomization on each run; use a fixed seed to control generation randomness. For programmatic editing, enter a Bria-compatible structured edit prompt as JSON in Structured prompt, using it instead of the ordinary edit instruction. Leave this field empty for normal text editing; it requires the provider's structured edit format rather than arbitrary JSON. Moderation settings controls whether the individual provider checks are supplied. With true selected, Prompt moderation, Source image moderation and Result moderation control their respective checks. The supplied defaults select true with all three checks disabled. Selecting false omits the individual settings. Generation uses the Bria partner API, sends the source image and editing inputs to the provider, and requires the runtime's Comfy API authentication. Provider charges apply.
Siglip2 So400m Patch14 224 Vision
> Note: This is a stripped-down copy of google/siglip2-so400m-patch14-224 containing only the vision tower. It encodes images / video frames into the shared embedding space and is meant to be loaded on its own at...
FLUX image upscale
Enlarge an uploaded image using the workflow's fixed FLUX/Dev and AnimeSharp upscale preset. For your first run, upload a source image and run the Pipe. The image passes through the Ultimate Upscale stage, and the saved upscaled image is returned as the result. The preset selects the FLUX/Dev fp8 bundle and 4x-AnimeSharp.pth. This interface offers only the source-image upload: there is no editable prompt, seed override, model selector, LoRA selector or optional processing mode. Processing settings remain at their source values. The upscaler's filename does not establish the final enlargement factor, and the supplied evidence does not establish an exact output size. No separate face-detailing stage is exposed. Running requires ComfyUI-UmeAiRT-Toolkit and the preset's model assets. The supplied dependency records leave the toolkit, FLUX/Dev bundle and AnimeSharp asset unresolved; automatic installation is not established.
DFDS EfficientNet B2 Deepfake Detection Engine
An open-source, production-ready deepfake detection model optimized for FinTech Identity Verification (KYC) pipelines. This model leverages a two-phase transfer learning approach using EfficientNet-B2, achieving a...
