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HappyHorse reference to video

Generate one video from two reference images and a prompt describing the subjects, action and camera movement. Upload both reference images, then replace the supplied car-and-driver prompt with a description matching your uploads. For a first run, use an object or scene as Reference image 1 and a person as Reference image 2, following the example's arrangement. Start with 5 seconds, 720P and 16:9, and describe an action that fits the chosen duration. The images feed reference slots 1 and 2; they are not designated start and end frames. The example prompt uses @image1 and @image2, while the source's prompt guidance recommends identifiers such as character1 and character2 for reference characters. Clearly describe each subject and its role in words when adapting the prompt. Choose a duration from 3–15 seconds, resolution of 720P or 1080P, and aspect ratio of 16:9, 9:16, 1:1, 4:3 or 3:4. Select HappyHorse 1.0 or 1.1; the default is 1.0. Seed -1 randomizes each run, while a fixed seed requests the same generation seed. Enable Watermark to request an AI-generated watermark. Generation sends the references and prompt to the provider API, requires configured provider access and incurs provider charges. The Pipe returns one video for preview with automatic format and codec selection. The example's requests for consistent details and smooth motion are creative instructions, not guarantees.

Krea 2 Turbo text to image: mechanisms and practical controls

Generate an image batch from text and configure this recipe's prompt refinement, style, dimensions and sampling, with graph and interface discrepancies made explicit.

Nano Banana 2 image generation

Generate images from a text description through the Nano Banana 2 partner API. Configured partner API access is required; requests send your prompt and settings to the provider and use paid provider generation. This Pipe accepts text only, with no connected reference-image input, and returns the final image output for preview. For a first run, use the supplied futuristic poster prompt or describe your own subject, composition, style, and exact lettering. Start with the default Nano Banana 2 model, square Aspect ratio, 1K Resolution, and MINIMAL Thinking level. Include unwanted elements as instructions in Prompt; there is no separate negative prompt. Keep proportions mentioned in the prompt consistent with Aspect ratio. Choose an explicit ratio for a predictable requested shape; auto leaves the shape to the provider. Choose the model before setting Resolution. Enter 1K, 2K, or 4K for Nano Banana 2, or 1K for Nano Banana 2 Lite. Resolution is a text field, so enter these values exactly. Actual dimensions also depend on Aspect ratio. Thinking level offers MINIMAL and HIGH reasoning; thinking images are not returned. Seed -1 randomizes each run. A fixed seed requests best-effort consistency, but identical images are not guaranteed. Temperature ranges from 0 to 2 and controls randomness; Top p ranges from 0 to 1 and controls the sampling threshold. Lower values favor more focused responses, while higher values allow more diversity. System instructions set the provider's foundational behavior; the supplied default directs requests toward image generation. Response format can request IMAGE or IMAGE+TEXT. Only the final image output is connected to this Pipe's result, so accompanying text is not returned. The output stage provides a preview rather than the source workflow's SaveImage disk-saving step.

Vidu Q2 text to video

Generate a short video from a written scene description using Vidu Q2, with optional background music. No source image is required. Generation sends your prompt and settings to Vidu through a paid provider call. For a first run, use the supplied scene prompt with the default 5-second duration, 16:9 aspect ratio, and 720p resolution. Run the Pipe to return one generated video to Sweet Tea. To create your own scene, describe the subject, action, setting, camera movement, and visual style in a prompt of up to 2,000 characters. Duration ranges from 1 to 10 seconds in whole-second increments. Choose landscape framing with 16:9 or 4:3, portrait framing with 9:16 or 3:4, or square framing with 1:1. Resolution can be 720p or 1080p. Enable Background music to request music with the generated video. Seed -1 randomizes each run. A fixed seed supplies a specific value to the provider without guaranteeing identical results. Output format and codec default to automatic selection; the output stage returns the video to Sweet Tea rather than saving it through the original ComfyUI SaveVideo node.

Topaz creative upscale

Create a creatively enhanced, resized image with Topaz Reimagine. Upload a source image and choose Scale factor. For a first run, use the default 4× scale, leave Prompt empty and keep Creativity at 2. A 4× scale requests four times the source width and height, approximately 16 times as many pixels; a scale of 1 requests the original dimensions. Add an optional prompt to guide the desired details or appearance. Creativity accepts values from 1 to 9. Preserve colors enables preservation of the original palette. Subject detection offers All, Foreground and Background modes. For portraits, enable Enhance faces to use Face creativity and Face sharpness, both ranging from 0 to 1. Face sharpness controls how sharp enhanced faces are relative to the background. Preserve facial identity is a separate option and defaults to off. Output dimensions follow the source aspect ratio, subject to pixel rounding; independent width and height choices are unavailable. The size calculation branch supplies dimensions, while the original image goes directly to Topaz. Crop to fill remains off because this workflow has no independent aspect-ratio choice. Uploaded transparency is not preserved: only the loader's image output is connected, without its alpha mask.

Qwen Image 2512 · 360 Panorama: mechanisms and practical controls

Start with a scene description and a 2048×1024 panorama canvas, choose the standard or Lightning branch, and adjust the controls that actually reach the sampler.

Gemini two-image editing

Generate an edited image from a source scene, a second visual reference and written instructions using Gemini. Upload both required images: the scene to change as Source image and an object, accessory, clothing item or other visual guide as Reference image. The source image is sent first and the reference second, together to Gemini. Explain each image's role, what to change and what to preserve. For a first run, upload a scene containing a person and a separate accessory reference. Replace the example Edit instructions with a request such as: “Use the first image as the scene. Put the accessory from the second image on the person, keeping the surrounding scene unchanged.” Choose an aspect ratio and resolution, then run the Pipe. Aspect ratio controls output proportions; auto asks Gemini to follow the input image's aspect ratio. Resolution offers 1K, 2K and 4K targets; 2K and 4K use Gemini's native upscaler. Model offers Gemini 3 Pro Image Preview or Nano Banana 2 (Gemini 3.1 Flash Image). Seed -1 randomizes each run; a fixed seed requests best-effort repeatability without guaranteeing identical images. System instructions set foundational provider behavior alongside the edit prompt. The default emphasizes producing an image. Provider response defaults to IMAGE; IMAGE+TEXT additionally requests text, but only the generated image is returned by this Pipe. Preservation of faces, objects and unchanged regions is a prompt request, not a guarantee. Both loaders send their IMAGE outputs; uploaded alpha masks are not connected, so uploaded transparency is not preserved through this path.

ComfyUI-CogVideoX-MZ

CogVideoX-5B 4-bit quantization model

ComfyUI-TripleKSampler

Advanced triple-stage sampling for Wan2.2 split models with Lightning LoRA - ComfyUI custom node

Comfyui-LatentUtils

a set of utils for comfyui latent operation

tiled_ksampler

pose-generator-comfyui-node

Generate OpenPose face/body reference poses in ComfyUI with ease. Made with 💚 by the CozyMantis squad.

img2txt-comfyui-nodes

Implements popular img2txt captioning models into ComfyUI nodes

prompt_injection

ComfyUI_CreaPrompt

Generate prompts randomly

virtuoso-nodes

Virtuoso Nodes - ComfyUI Node Suite

minimax-h3-chunk-star7

VRAM-efficient MiniMax H3 for ComfyUI: QKV/RoPE/MLP activation chunking, automatic OOM chunk reduction, and CK/SLA/Sol/Hybrid attention for SM75 and SM80+ GPUs.

ComfyUI_ProfilerX

Node and workflow profiling. Find bottlenecks in your workflows. See trends over time.

TimeSlice-Nodes

Temporal slit-scan / time-displacement effects for ComfyUI — angled, animated and dual-source slicing on a shared engine.

ComfyUI_restart_sampling

ComfyUI nodes for restart sampling based on the paper "Restart Sampling for Improving Generative Processes"