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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.
Wan 2.2 Image to Video
Animate a starting image into a silent video using Wan 2.2 and a fixed four-step LightX2V LoRA pair. For a first run, upload a source image, leave its stage enabled, and enter a prompt describing the subject's action, scene, and camera movement. Keep the default dimensions, frame count, and sampling settings. The default result is 81 frames at 640 × 640, played at 16 FPS, for about 5.1 seconds. The supplied negative prompt lists unwanted artifacts and can be retained or edited. To generate without a starting image, bypass the Source image stage and describe the complete scene in the prompt. Leaving the upload empty while that stage is enabled does not select this mode. The same image-to-video models remain in use. Width and height specify generated pixels in multiples of 16. Frame count uses increments of four starting at 1. Playback FPS changes playback speed and duration without creating additional frames; duration is frame count divided by FPS. Keep latent batch size at 1 for a single clip: decoded frames feed one video output, with no separate per-item file outputs. The graph includes no audio input, upscaling stage, end-frame control, or transparency-preservation path. Advanced controls expose separate high-noise generation and low-noise refinement settings. Seed -1 randomizes the initial noise; a fixed nonnegative seed reuses that variation. The default Euler/simple schedules both have length 4, with the first stage running from 0 to 2 and refinement continuing from 2 to 4 without fresh noise. Keep schedule lengths and handoff boundaries coordinated. These defaults match the fixed four-step acceleration LoRAs; changing steps alone does not establish a supported higher-quality preset. Guidance and schedule shift remain independent for each stage. The model pair and acceleration LoRAs are fixed; this interface does not offer custom LoRA selection or strength controls. Video encoding offers container, codec, compression quality, and bit-depth choices. For the first run, retain auto container and codec, CRF -1, and 8-bit video. The source notes possible compatibility limitations for 10-bit playback.
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.
ACE-Step 1.5 music to MP3
Generate a music track from a musical description and lyrics with ACE-Step 1.5 Turbo, then export it as MP3. No media upload is required. For a first run, keep the supplied neo-soul prompt and lyrics, both duration fields at 120 seconds, Batch size at 1, and the supplied sampling settings, then run the tool and retrieve the MP3 output. To create your own song, describe the genre, instruments, mood, vocal character, and groove in Music prompt, then replace Lyrics with the words to sing. Optional markers such as [Verse] and [Chorus] communicate song structure. Choose the lyrics language, tempo in beats per minute, time signature, and musical key. Language uses the supplied language-code choices; en means English and unknown leaves the language unspecified. Time signature offers 2, 3, 4, and 6. Audio duration controls generated length in seconds. Conditioning duration is an independent field supplied to music conditioning: change both to the same value when changing track length. They are not synchronized. Batch size controls the number of audio latents; use 1 for a single-track run. The supplied evidence does not establish how larger batches are presented in the exported result. Generate audio codes is enabled by default and adds a language-model stage before audio sampling. You can disable it while retaining text-conditioned audio generation. Audio-code seed, guidance, temperature, top-p, top-k, and min-p apply when this mode is enabled. They are separate from the audio sampler's seed and guidance. Both seeds default to -1 for randomization on each run; set both explicitly when comparing settings with audio-code generation enabled. Advanced audio sampling starts with eight steps, Euler, the simple scheduler, guidance 1, and full denoising. Sampling shift is a separate model configuration control with source default 3. No further shift tuning guidance is supplied. This workflow starts from an empty audio latent and has no uploaded audio reference or editable negative prompt; lowering denoising strength does not add audio editing. MP3 quality offers V0 variable-rate encoding or fixed 128k/320k bitrates. The checkpoint is fixed to ace_step_1.5_turbo_aio.safetensors; this tool does not offer model selection.
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.
WaveSpeed image upscale
Upscale an uploaded image to a 2K, 4K, or 8K provider preset with SeedVR2 or Ultimate through WaveSpeed. For a first run, upload your source image, leave the model at SeedVR2 and target resolution at 4K, then run to view the returned upscaled image. The source image is required; no bundled example image is needed. Choose SeedVR2 or Ultimate to change the upscaling model. Both use the same target-resolution control. To compare their results, run each model with the same source image and resolution preset. The resolution choices are provider presets rather than explicit pixel width and height settings. This operation sends your image to WaveSpeed and uses a paid provider call. The workflow uses only the loaded RGB image; uploaded alpha transparency is not preserved.
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.
Recraft V4 text to image
Generate one to six images from a written description using Recraft V4 or V4 Pro. No source image is required. The host environment must provide access to the Recraft API; prompts are sent to the provider, and generation incurs provider usage charges. For a first run, replace the example prompt with your subject, composition, lighting and desired style. Keep Recraft V4, Output size 1024x1024 and Image count 1. Leave Negative prompt blank unless you want to describe elements to discourage. Run the Pipe to receive the generated images. Select the model before setting Output size. These are separate controls: switching to V4 Pro does not automatically update the size. The source defaults are 1024x1024 for V4 and 2048x2048 for V4 Pro. Enter sizes as widthxheight in pixels. The complete model-specific size lists are not supplied, so other dimensions must be supported by the selected model or the provider may reject them. Image count ranges from one to six; model choice and image count affect provider usage cost. Leave Seed at -1 to randomize it each run. Seed controls whether the generation node re-runs; a fixed seed does not reproduce the same images because provider results are nondeterministic. This Pipe returns generated images through Sweet Tea's preview output. It does not expose palette or background-color controls: the source's color examples are disconnected from generation.
Grok video
Generate one short video using Grok from a text prompt, optionally guided by a starting image. For a first run, describe the scene, subject action and camera movement. Keep grok-imagine-video selected, leave Starting image disabled, and use the default six-second duration and 720p resolution. Run the Pipe to receive the video in Sweet Tea. To use a starting frame, enable Starting image and upload an image. This is optional for grok-imagine-video and required for grok-imagine-video-1.5. Describe how the pictured scene should develop. Selecting grok-imagine-video-1.5 requires a starting image even if your prompt is complete. Only that model supports 1080p; 480p and 720p are also available. Duration sets the video length from 1 to 15 seconds. Aspect ratio controls the video shape; choose a listed ratio or leave auto for automatic selection. Seed controls whether the provider request is rerun, rather than making the generated video reproducible. Leave it at -1 to randomize the rerun value each run; a fixed value does not guarantee identical results. Under Video output, leave File type and Codec at auto for automatic encoding selection, or choose an available format and codec. The output stage returns the video to Sweet Tea rather than saving it through the original SaveVideo node. Generation uses a paid Grok provider call and sends the prompt and any enabled starting image to the provider.
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.
Product camera tour
Generate one silent product camera-tour video by joining three Kling clips between four Seedream-generated views. For a first run, upload a product photo in Source image and leave that stage enabled. Review the four required view prompts, then run with the default sizes, transition modes and encoding settings. The prompts request an opening close-up, a low wide view, a side view and a rear view against a white studio background. The closing prompt includes car-specific details; replace those for another product. Four images are generated internally, but the selected result is the combined video. For text-only generation, disable the Source image stage and explicitly describe the same subject and setting in all four prompts. The views are generated independently from those prompts, so subject consistency may decrease. Even with a reference, consistent appearance and camera-only movement are generation goals rather than guarantees. Edit each view's framing, camera position and setting to change the shot sequence. View seeds are independent; -1 requests randomization. Gemini compares each adjacent image pair and automatically supplies positive and negative motion prompts to Kling. Direct motion-prompt overrides are not exposed. Each transition has its own mode string in mode / duration / model_name format, guidance value from 0 to 1, and aspect ratio. Defaults use pro mode / 5s duration / kling-v2-5-turbo and 16:9 for all three clips. Use configurations supported by the source node; this draft does not enumerate additional mode strings. Planning seeds offer best-effort repeatability of Gemini responses. Keep all four generated images at matching dimensions because adjacent images are batched for planning. Custom width and height are in pixels and apply only when that view's size preset is Custom. When changing the video shape, set all three transition aspect ratios consistently and keep their resulting frame dimensions compatible. Mode changes must also preserve compatible clip dimensions and frame rates. The final assembly uses the first clip's frame rate for all frames, so differing clip frame rates can alter playback timing. Each view remains limited to one generated image to provide an unambiguous start and end frame. The clips are joined in opening-to-wide, wide-to-side, then side-to-rear order. Audio is not carried into the result. File type, codec and CRF control final encoding; auto and CRF -1 retain transport defaults. Image watermark toggles affect the generated keyframes used downstream. Automatic planning relies on Gemini returning a single line with the expected --no separator; a differently formatted response can prevent usable prompt extraction.
Four-reference portrait with Flux.2 Pro
Create one prompted group portrait from four character references with Flux.2 Pro. For a first run, upload one character image into each of the four required reference inputs, keep the supplied prompt and default settings, then run the tool. The prompt requests a softly lit editorial portrait with all four characters looking up toward an elevated camera. References reach the generator in the displayed order. Describe the composition, setting, lighting and style in the prompt, including which details from each reference should carry into the result. Rewrite the prompt to request other scenes or compositions using the same four references. Character fidelity and placement are guided by the references and prompt rather than guaranteed. Uploaded alpha masks are not used by this workflow. Width and height set output dimensions in pixels, each from 256 to 2048 in increments of 32. The default is 1920 × 1280; adjust both to choose the frame's aspect ratio. Prompt expansion is enabled by default and allows the provider to modify the prompt for more creative generation. Disable it to avoid automatic prompt expansion. Seed -1 selects a fresh random seed for each run. Set a fixed nonnegative seed to hold the noise seed constant while comparing changes to the prompt or other settings.
