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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.
Nano Banana 2 image generator
Generate images from a text prompt with Nano Banana 2 or Nano Banana 2 Lite and return the final images to Sweet Tea. A configured, authenticated Gemini API connection is required. Requests send your prompt and provider instructions to Gemini and use provider billing. This workflow has no reference-image input. For a first run, keep Nano Banana 2 Lite, aspect ratio 1:1 and resolution 1K. Use the supplied racing-poster prompt or replace it with a description of your subject, composition, style and desired text, then run the Pipe. Put unwanted elements into the same prompt as constraints; there is no separate negative prompt. Choose the model before resolution. Lite uses 1K; the existing guidance specifies 1K, 2K and 4K for Nano Banana 2. Return resolution to 1K before switching back to Lite. Choose an explicit aspect ratio for the desired framing; auto has no reference image to match in this workflow. Thinking level selects MINIMAL or HIGH. Temperature controls sampling randomness from 0 to 2, and top P controls the nucleus sampling threshold from 0 to 1. Keep their supplied defaults for a first run. Seed -1 requests fresh randomization; a fixed seed provides only best-effort consistency, and changing model or sampling settings can change the result. System instructions guide the provider's interpretation of your prompt; the supplied instructions prioritize image generation. IMAGE+TEXT can request accompanying provider text, but this Pipe returns only the final image output. Text and intermediate thinking images are not included. The output stage transports images to Sweet Tea without permanently saving PNG files.
Wan 2.1 first-to-last frame video
Generate a short, silent video transition between a first image and a last image, guided by a motion prompt. Both images are required. Wan 2.1 VACE conditions the endpoints; it does not guarantee pixel-exact reproduction. Uploaded alpha masks are not used. For a first run, upload endpoint images with matching dimensions and compatible framing, replace the example motion prompt, keep the 512 × 512 output, choose length setting 4 and leave Lightning disabled. Keep batch size 1 and the supplied sampling and encoding defaults. The negative prompt lists unwanted appearance and motion; its supplied Chinese exclusions can be retained or replaced. Choose output width and height as multiples of 16, each at least 16. Other values round down. The source recommends resolutions up to 720p and clips shorter than five seconds. Length is a positive integer setting converted to 16 × setting + 1 generated frames. Setting 4 gives 65 frames, approximately 4.06 seconds at 16 FPS. The preserved default of 5 gives 81 frames, approximately 5.06 seconds. Playback FPS changes speed and duration without generating additional frames. Lightning enables the fixed Lightx2v LoRA and switches to its separate steps and CFG controls: defaults of 6 steps and CFG 1, compared with standard defaults of 20 steps and CFG 6. Lightning LoRA strength applies only in Lightning mode. Frame guidance strength scales endpoint conditioning; CFG controls text guidance. Both modes share seed, sampler, scheduler, denoising amount and sampling shift. Seed -1 randomizes each run; use a fixed seed to compare changes with the same initial noise. Advanced playback and encoding settings include bit depth, file type, codec and CRF. The default uses 8-bit video creation and H.264 encoding with automatic file type. AV1 and other containers are selectable; choose compatible container and codec settings. Ten-bit video requires compatible encoding and playback. The graph has no audio input and this interface returns one video output.
SDXL with separate refiner prompts
Generate an image or batch from text with SDXL Base and Refiner, using separate prompts for composition and finishing detail. Both fixed checkpoints are required: sd_xl_base_1.0.safetensors and sd_xl_refiner_1.0.safetensors, available to ComfyUI in its checkpoints directory. For a first run, keep 1024 × 1024 pixels, Image count 1 and the default sampling settings. Enter the subject, setting and composition in Positive prompt, then describe compatible finishing details in Refiner prompt. You can also run the supplied blue galaxy bottle example. The refiner continues the base latent; its prompt influences final denoising rather than generating a separate composition. Negative prompt and Refiner negative prompt apply to their respective stages, so edit both for exclusions you want throughout generation. Width and height are pixels in multiples of eight. Image count generates a batch at those dimensions. Larger dimensions and batches require more memory. In advanced settings, Seed controls the base stage's initial noise: -1 randomizes each run, while a fixed value reuses initial noise. Refiner seed controls randomness consumed by stochastic refiner samplers despite fresh initial noise being disabled. Fix both seeds when comparing settings with those samplers. Advanced controls provide separate prompt guidance, samplers and schedulers for each stage. Defaults use Euler and the normal scheduler for both stages. Start with matching sampler and scheduler choices. Each stage's Schedule steps value describes the full noise schedule, not just the steps that stage executes. Defaults use 25 schedule steps: the base starts at 0 and hands off at 20 with leftover noise; the refiner resumes at 20 and finishes without adding fresh initial noise. When adjusting the split, keep both schedule lengths equal and Base handoff step aligned with Refiner handoff step under matching schedules. The default Refiner end step of 10000 means finish the available schedule, not run 10000 steps. This tool takes text inputs and always runs both generation stages. It has no uploaded-image mode, model selector or refiner bypass.
Kristen Nobody
Follow me to make sure you see new poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
VAE: Final Prune VAE
This is an earlier version of a stable VAE. Compared to other VAEs, it has a higher level of stability. I am not the creator, but I could not find this VAE on the website, so I am sharing it here.
Glass Style
Textual Inversion Style Embedding trained on glass and crystal . It's an odd one, a little experimental! Sometimes it will give you lovely translucent clothing details, or even clothing made of glass. Sometimes it...
Kling video editor
Edit an uploaded video with text instructions and, optionally, one reference image. The Pipe returns one edited video with the same duration as the source. For a first run, upload your source video, then rewrite Edit instructions to describe what to change and what to preserve. The supplied example refers to a man, an ornate bird, and a desert background; replace those details with instructions for your footage. Keep the default kling-v3-omni model and 720p resolution to start. Reference image is enabled by default. Upload an image and explain how it should guide the edit, or bypass the Reference image stage for text-only editing. When bypassing it, remove references to an uploaded image from your instructions. This Pipe provides one reference-image input. Choose 720p or 1080p output. Keep original audio retains the source video's audio when enabled. Editing model also offers kling-video-o1. Re-run seed defaults to -1 for a fresh value each run; fixed seed values do not make results reproducible. Include desired changes and unwanted changes in the same instruction field. Requests to preserve characters, actions, or details guide the model and are not guarantees. Editing uses the Kling provider API, which receives the supplied media and instructions and involves a paid provider call.
HappyHorse text to video
Generate a 3–15 second video from an English or Chinese text prompt with HappyHorse. Configured ComfyUI partner API access is required; no uploaded media is needed. For a first run, use the supplied floral fashion prompt or describe your own scene, action, visual style, and camera movement. Keep HappyHorse 1.1, 720P, 16:9, and a 5-second duration, then run the tool to receive the video in Sweet Tea. Choose 720P or 1080P and a duration from 3 to 15 whole seconds. Requests such as “8K” or “60 fps” in the prompt do not override the resolution control; there is no frame-rate control, separate negative prompt, or reference-image input. HappyHorse 1.0 is an alternative model. When selecting it, choose 16:9, 9:16, 1:1, 4:3, or 3:4. HappyHorse 1.1 also supports 21:9, 9:21, 5:4, and 4:5. Check the aspect ratio whenever you switch models. Seed -1 requests a fresh random seed each run; a nonnegative seed controls generation variation. Enable Watermark to request the provider's AI-generated watermark; use this control rather than relying on watermark instructions in the prompt. Advanced Video output settings offer automatic formatting or MP4, MKV, and WebM file types, with automatic, H.264, or AV1 codec choices. Leave both settings on auto for the first run.
Color and edit images with Gemini
Color an illustration or apply prompted image edits with Gemini, or generate an image from text alone. For a first run, leave Source image enabled, upload an illustration, and use “Color this image.” Start with Auto aspect ratio and 1K resolution. Add palette, style and details to preserve or change to your prompt. An upload is required while Source image is enabled. For text-only generation, disable Source image and replace the coloring prompt with a complete description of the image you want. No upload is needed in this mode. Choose an explicit aspect ratio to specify the composition. With a reference image, Auto follows its aspect ratio. Resolution selects a 1K, 2K or 4K target; 2K and 4K use Gemini's native upscaler. Model selects Gemini 3 Pro Image or Nano Banana 2 (Gemini 3.1 Flash Image). Seed -1 randomizes each run; a fixed seed requests best-effort consistency without guaranteeing identical results. System instructions control Gemini's underlying interpretation of the prompt; the default directs it to produce an image. Keep Response format at IMAGE for image-only requests. IMAGE+TEXT also requests text, but this Pipe returns only generated images and does not retain the text response. This workflow sends the prompt and any enabled reference image to the Gemini service and uses a provider-priced request. Access to that service is required. Results are returned through an image preview output. The reference connection carries RGB image data only and does not preserve uploaded transparency.
Image glow
Create an image with a sampled, optionally tinted glow from an uploaded source image. For a first run, upload your image and run with the saved settings: Intensity 2, Radius 29, Glow tint #0a9299, screen blending and Threshold 100. These settings apply a teal-tinted effect rather than a neutral preview. Change intensity or radius and run again to compare. Set Intensity to 0 to preview the source without the effect. Intensity uses a unitless 0 to 100 scale and scales the glow before blending. Radius uses a 0 to 100 scale rather than direct pixel units: the sampling radius is 0.012 × Radius squared in pixels, so the saved value 29 gives about 10 pixels. Sampling includes slight spatial jitter. Radius 0 also disables the effect. Glow tint multiplies the sampled glow's colors. Enter an RGB hex color; #ffffff leaves those colors unchanged. The saved #0a9299 favors teal. Pure black #000000 skips the tint multiplication rather than suppressing the glow. Advanced controls choose brightness selection and blending. Threshold is an inverted 0 to 100 scale: low values favor bright samples, while high values include darker samples. The brightness selection has a soft transition. Choose the exact lowercase blend name add, screen, soft, overlay or lighten; enter it exactly if shown as a text field. Add sums the source and glow, screen combines their inverse values, and lighten keeps the larger value in each channel. Soft and overlay use tonal blends that can darken areas when the sampled glow is weak, so lowering intensity is not necessarily a fade back to the source in those modes. Intensity 0 disables every mode. Strong settings can clip colors to black or white. The active effect also adds a small deterministic dither. Output dimensions follow the source image. Uploaded transparency is not preserved because the image loader's separate alpha mask is unused. This output applies only glow; the other image adjustments in this family are separate tools.
Kling first and last frame video
Generate one video from a starting image, a motion prompt, and an optional ending image using Kling. Provider access is required; generation sends inputs to Kling and uses a paid provider call. The result is returned as a video preview. For a first run, upload the first and end frames, replace the example prompt to match your images, and keep the five-second, 1080p defaults. The end-frame stage starts enabled and needs an upload. To animate only the starting image, bypass the End frame stage; no end-frame upload is then needed. Describe subject motion, camera movement, desired appearance, and the transition in the motion prompt. The same field accepts desired and unwanted content; there is no separate negative prompt. Duration ranges from 3 to 15 seconds. Resolution offers 720p, 1080p, and 4k. Kling v3 Omni is the default model; Kling Video O1 is also selectable. Generate audio is supported only with Kling v3 Omni, so leave it off with Kling Video O1. Seed -1 randomizes each run; a fixed seed does not make provider results reproducible. The advanced Video output stage provides file-type and codec choices. Keep both on auto for the first run. This interface supports first-frame and first-to-last-frame generation. Storyboards remain disabled because editable segment prompts and durations are absent. Reference-image guidance is not connected in this Pipe.
SwitchX Video Alpha Matte
Generate a separate automatic subject alpha matte video from a trimmed source clip with Beeble SwitchX. SwitchX performs the scene edit as part of this operation; this Pipe returns its matte video, while the edited color video is not included. For a first run, upload a source video, replace the example prompt with your desired scene edit, and keep 720p resolution, start time 0 and duration 5 seconds. Check that the segment contains no more than 240 frames at the source video's frame rate. Leave output file type, codec and CRF at their defaults. The reference image stage is disabled initially. To use it, enable the stage and upload an image to guide the background, lighting or costume. Supply a nonempty prompt of at most 2000 characters, an enabled reference image, or both. Disable the reference stage to use the prompt alone. Start time and duration are measured in seconds. Duration 0 selects the remaining clip, still subject to SwitchX's limits of 240 frames and approximately 2.77 megapixels per frame. Strict duration raises an error when the requested duration is unavailable instead of accepting a shorter segment. Output resolution selects the maximum processing resolution, rather than an exact width and height. Alpha mode remains fixed to Auto for automatic subject isolation. Fill produces no separate matte, and this graph provides no keyframe or custom matte inputs for Select or Custom operation. The returned matte is a separate video, not an edited color video with embedded transparency. Seed -1 randomizes the rerun seed on each run. Identical seeds do not guarantee identical SwitchX results. This workflow sends inputs to the Beeble provider and invokes its paid processing service.
HappyHorse reference-to-video
Create a short video from a character reference image and a scene reference image, guided by a motion prompt. Set resolution, aspect ratio, duration, seed, watermark, and output FPS; choose a HappyHorse 1.1 or 1.0 model. Video file type and codec are also selectable.
Quality Embeddings for Anime models
I made 2 basic quality embeddings as an alternative to the quality tags that are normally used with my checkpoints. They work of course also with any other IL/NAI-based anime checkpoint.
ElevenLabs voice isolation
Reduce background noise in a speech recording with ElevenLabs voice isolation and export the processed audio as an MP3. For a first run, upload your recording under Source audio, keep MP3 quality at V0, run the Pipe, and download the result. Advanced MP3 export settings also offer 128k and 320k; these change MP3 encoding rather than the isolation process. The entire uploaded recording is processed. This Pipe has no trim controls or adjustable isolation strength.
Anima anime image generator
Generate anime and stylized illustrations from text with the fixed Anima Preview 3 model. No uploaded image is required; the output is an image or a batch of images returned to Sweet Tea. For a first run, keep the supplied cyberpunk eye prompt or replace it with your subject, composition, lighting, and style. Use the negative prompt to describe unwanted traits. Keep the initial settings: 1024 × 1024 pixels, one image, 30 steps, CFG 4, sampler er_sde, scheduler simple, and denoise strength 1. Run the Pipe to receive the generated images; the output stage does not automatically save image files through ComfyUI SaveImage. Width and height are in pixels, in multiples of 8, and together determine the aspect ratio. Images per run sets the batch size. Larger dimensions and batches require more memory. Open Sampling for additional controls. Seed -1 randomizes each run; use a fixed seed when comparing changes while holding other settings constant. Steps set the number of denoising steps. CFG controls prompt guidance; excessive guidance can harm image quality. Sampler selects the sampling algorithm, and Scheduler selects its noise schedule. Denoise strength defaults to 1 for full generation; reducing it changes sampling strength and does not preserve an original image. The workflow uses anima-preview3-base.safetensors, qwen_3_06b_base.safetensors, and qwen_image_vae.safetensors, with Sweet Tea's image output node. These dependencies must be available in the execution environment. Model selection is fixed in this Pipe. This is text-only generation from an empty latent. References to preserving an original composition in the example prompt are text instructions, not image guidance or a guarantee of preservation. There are no reference-image, image-editing, or upscaling stages.
Video green screen
Replace a video's background with a solid green or blue chroma-key backdrop using Bria. Upload the video you want to process, leave Background shade on broadcast_green, and run. Download the resulting video and use your editor's chroma-key tools to remove the colored backdrop for compositing. Background shade offers broadcast_green (#00B140), chroma_green (#00FF00), and blue_screen (#0000FF). Choose a color that contrasts with the foreground. The output has a solid colored background; it is not a transparent video. Seed controls whether Bria processing reruns. Leave -1 to randomize on each run. A fixed seed does not make the provider's results reproducible. Under advanced Video output settings, leave File type and Codec on auto for a first run. Explicit container choices are MP4, MKV, and WebM; codec choices are H.264 and AV1. The supplied evidence does not establish support for every explicit pairing. Audio preservation is also not established by the supplied graph. Processing sends the video to Bria and uses a provider-priced API operation.
