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HiDream O1 image studio
Create an image batch with HiDream O1 Image Dev by editing an uploaded reference or generating from a text description. For a first run, upload a source image, keep Image edit enabled, replace the example Positive prompt with your requested change, leave Refine prompt off, and run with the existing defaults. Results are returned through Sweet Tea's image output; this graph does not save files through ComfyUI SaveImage. An upload is required by this interface in both modes. With Image edit enabled, the original upload supplies reference conditioning. Output width and height follow the upload, rounded down to multiples of 32. Use dimensions of at least 64 pixels and keep the calculated canvas within 4096 pixels per dimension. To calculate a different edit canvas, enable the currently bypassed Resize edit output stage and set Edit megapixels, measured in millions of pixels. Aspect ratio follows the upload. This stage changes canvas sizing only; reference conditioning and prompt refinement still receive the original upload. Resize method affects the intermediate sizing copy, rather than directly filtering the generated result. Disable Image edit for text generation and describe the complete desired image in Positive prompt. Text width and Text height specify pixels, in multiples of 32 from 64 to 4096. Text batch count and Edit batch count independently select the number of results for their respective modes. Text mode does not use the upload as image-generator reference conditioning, but the interface still requires it. Refine prompt optionally uses Gemma 4 and the upload to expand your request into an English visual description, including in text mode. It may add interpretation or inferred details; leave it off when exact wording matters. Refinement tuning controls text sampling, its separate seed and the response token limit. Temperature and token filters apply when Sample refinement text is on. An insufficient token limit or malformed JSON response can prevent prompt extraction. Refinement thinking requests model-supported thinking behavior; false is the source configuration for JSON extraction. The starting image settings are 28 steps, normal scheduler, CFG 1 and Add noise enabled. CFG changes conditioning influence; at 1, conventional classifier-free negative guidance is inactive. Denoise changes the sampling schedule from an empty latent in both modes, rather than directly controlling preservation of uploaded pixels. Advanced Sampling noise tuning exposes the initial and final per-step noise multipliers and clipping threshold. Image Seed and Refinement seed control separate random processes: -1 randomizes each run, while fixed seeds help compare settings. This tool accepts one reference image. Uploaded alpha is not carried through the RGB reference path. Edit canvas dimensions are rounded rather than clamped, so check the resulting size when using a very small image or an extreme aspect ratio.
Character camera views
Upload a character image and describe the camera view you want. This Pipe uses Qwen Image Edit 2511 with the multiple-angles LoRA to generate one image per run. The uploaded image supplies both reference conditioning and the initial image latent. For a first run, upload your image, keep the close-up instruction and leave Fast mode enabled. Replace the instruction to request another view. The eight source camera instructions are shown below; leading whitespace and trailing line breaks inside the code blocks reproduce the source strings. Close-up: ``` Turn the camera to a close-up. ``` 45 degrees right: ``` Rotate the camera 45 degrees to the right. ``` Aerial: ``` Turn the camera to an aerial view. ``` Wide-angle: ``` Turn the camera to a wide-angle lens. ``` Low-angle: ``` Turn the camera to a low-angle view. ``` 90 degrees right: ``` Rotate the camera 90 degrees to the right. ``` 90 degrees left: ``` Rotate the camera 90 degrees to the left. ``` 45 degrees left: ``` Rotate the camera 45 degrees to the left. ``` Fast mode coordinates the Lightning LoRA, Fast steps and Fast CFG through one source boolean. Its defaults are 4 steps and CFG 1. Disable Fast mode to use the model without Lightning and the independent Standard steps and Standard CFG defaults of 40 and 4. Each mode's tuning fields affect only that mode. Keep Euler and the simple scheduler for the source setup. Negative prompt guidance has little or no effect at CFG 1. Denoise defaults to 1 to allow substantial viewpoint changes. Reducing it retains more of the initial image structure but can prevent the requested camera change. Camera LoRA strength adjusts the multiple-angles adaptation in both modes; Lightning strength applies only in Fast mode. These are generated interpretations of a single image, not measured 3D rotations. Hidden surfaces and character details may be invented or changed, and requested degree values are instructions rather than geometric guarantees. The source automatically scales the input before generation and offers no independent output dimensions. Uploaded transparency is not preserved by this RGB-only path. Run again with another instruction to create additional views.
Image levels
Create an image with adjusted black and white points and midtones from an uploaded source image. For a first run, upload your image and run with the saved settings: RGB, Input black 85, Input white 255, Gamma 4.33, Output black 36 and Output white 201. These settings apply a stylized adjustment rather than a neutral preview. For no levels adjustment, use input endpoints 0 and 255, Gamma 1, and output endpoints 0 and 255, then change a control and run again. Choose RGB to apply the same settings to all three channels, or R, G or B to adjust only that channel while leaving the other two unchanged. If Channel appears as a text field, enter these exact names. All black and white points use a 0 to 255 scale. Input black and Input white define the range that is normalized before gamma adjustment; values outside that range are clipped to its endpoints. Keep Input white greater than Input black. Clipping cannot recover detail outside the selected range. Gamma is unitless and must be positive; do not use 0 because the shader divides by it. The source describes 0.01 to 9.99 as its intended range. Gamma 1 adds no midtone adjustment. When Output white is above Output black, gamma above 1 brightens midtones and gamma below 1 darkens them. Advanced controls set the output endpoints after gamma adjustment. Raising Output black lifts the dark endpoint; lowering Output white dims the bright endpoint. Reversing these endpoints reverses the tonal mapping, while equal endpoints produce a constant value in the selected channels. 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 levels; the other image adjustments in this family are separate tools.
MiniMax H3 reference images to video
Generate a video with generated audio from two reference images and a scene prompt. For a first run, upload both images, replace the example story, and keep the five-second duration and default sampling settings. Identify the uploads as <Picture 1> and <Picture 2> in the prompt and explain what each contributes. Describe the action, camera movement, dialogue, music, and sound effects you want. The images guide generation; they are not guaranteed first and last frames. No uploaded audio or video reference is connected, so do not use an <Audio 1> tag. Output dimensions are fixed by the source's 16:9, 0.4-megapixel size configuration, approximately 864 × 480. Playback is fixed at 24 FPS. Requested seconds are converted to frames and adjusted to supported counts spaced 17 frames apart, starting at five frames. A five-second request produces 124 frames, approximately 5.17 seconds. The result returns video frames and generated audio together as one video. Advanced controls include reference detail, seed, sampling steps, scheduler, sampler, and denoise. Reference detail match scales references to the output resolution; max retains more reference detail, up to a 2048-pixel short edge according to the source notes, with increased sampling cost. Seed -1 requests a new random variation; a fixed seed reuses the initial noise. Start with 20 steps, res_multistep sampling, simple scheduling, and denoise 1. The source notes suggest beta or normal scheduling for reference-heavy prompts. Longer duration and more steps increase processing work. For delivery, leave format and codec on auto initially. Explicit container choices are mp4, mkv, and webm; codec choices are h264 and av1. Choose compatible combinations for your intended player. The default 8-bit output offers broad compatibility; 10-bit can retain smoother gradients but requires compatible encoding and playback.
CyberRealistic Negative - SD 1.5
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Hue and saturation
Create a color-adjusted or single-hue colorized image from an uploaded source image. For a first run, upload your image and run with the saved settings: Master, HSL, Hue 3.9, Saturation 0 and Lightness or brightness 0. This applies a small hue shift. For an unchanged starting preview, set Hue to 0 as well, then change a control and run again. Choose Master to adjust all colors, or Reds, Yellows, Greens, Cyans, Blues or Magentas to target an existing hue range. These ranges are based on pixel color, not objects or manually selected regions, and leave grayscale pixels unchanged. If a mode control appears as a text field, enter the exact choice name. Hue shifts colors by -180 to 180 degrees. Saturation uses a unitless -100 to 100 scale: negative values reduce saturation, positive values increase it, and 0 adds no adjustment. Lightness or brightness also uses -100 to 100: negative darkens, positive brightens, and 0 adds no adjustment. The three adjustments combine in one output. In advanced controls, HSL adjusts saturation and lightness; HSB/HSV adjusts saturation and brightness. Color range overlap feathers individual hue ranges into neighboring colors, with higher values extending the affected range. The saved overlap is 50. Use a value above 0 through 100: exactly 0 makes the shader's feather calculation undefined. Overlap is ignored in Master and Colorize. Choose Colorize for a single-hue treatment using source luminance as the starting lightness. Hue becomes the target hue: 0 is red, 60 yellow, 120 green, ±180 cyan, -120 blue and -60 magenta. Set Saturation above 0 through 100 to add color; 0 produces grayscale, and negative saturation values are clamped to 0. Lightness or brightness adjusts HSL lightness in this mode. Colorize always uses HSL and ignores both Color space and overlap. Strong saturation or tonal adjustments can flatten color or tonal detail. 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 hue, saturation and the associated tonal adjustment or Colorize treatment; the other effects in this family are separate tools.
Wan 2.1 trajectory-guided video
Produces a silent video from a starting image, a motion prompt and point trajectories using the fixed Wan 2.1 ATI model. For a first run, upload your starting image and write a positive prompt describing its subject, intended action and camera movement. Review the negative prompt, whose source default is a Chinese-language exclusion list. Annotate motion paths for that same image with the source-recommended Trajectory Annotation Tool at https://comfyui-wiki.github.io/Trajectory-Annotation-Tool/ and paste its exported JSON into Trajectory JSON. The prompt and trajectory fields start empty because the source examples describe a particular image. Both must be supplied for your composition. Trajectory JSON is an outer array of tracks, each containing an ordered sequence of objects with numeric x and y coordinates. Use the annotation tool's export; the supplied evidence does not establish how arbitrary track lengths are resampled. Check trajectory alignment whenever you change the image composition or output dimensions. Initially retain 720 × 480 pixels, 81 frames, 16 FPS, 20 steps and CFG 3, giving approximately 5.1 seconds of playback. Width and height use multiples of 16; frame counts follow 4n + 1. More frames change the generated sequence length. FPS changes playback timing without generating additional frames. Image guidance optionally adds visual conditioning from the same uploaded image. Disabling it leaves the required starting-image and trajectory conditioning in place. Guidance crop affects only this optional visual conditioning and has no effect when image guidance is disabled. Sampling controls include seed, steps, CFG, sampler, scheduler and denoise. Seed -1 requests fresh random noise; a fixed seed reuses sampling noise. Denoise is not a direct source-image preservation slider because the video latent comes from the conditioning stage. Start with the supplied sampling defaults, including denoise 1 and sampling shift near 8. Keep batch size 1 for the documented single-video use. Trajectory temperature and top-k remain available, but their detailed effects are not documented in the supplied source evidence; initially retain 220 and 10. Video playback controls set FPS and bit depth. Start with 8-bit; 10-bit requires compatible encoding and playback. Video encoding controls select the output container, codec and CRF quality setting; initially retain auto, auto and -1. These settings affect delivery rather than the generated motion. The model and supporting encoders are fixed, and this workflow has no audio input.
Anima depth-guided illustration
Upload a reference image with the spatial layout you want to guide, then describe the new scene and style in the positive prompt. The reference is resized, Depth Anything 3 estimates its depth, and Anima generates a fresh image using that depth as guidance. Outputs include the generated image batch and the grayscale depth preview. For a first run, keep Output size at 1 megapixel, Depth strength at 1, and Turbo mode off. Output dimensions are derived from the depth preview rather than independent width and height fields. The source image supplies spatial guidance, not an encoded starting image: this tool does not preserve its exact colors, texture, identity, or transparency. Turbo mode selects the fixed Anima Turbo LoRA and switches to its separate sampling settings: 8 steps and CFG 1 by default, versus 30 steps and CFG 4 in standard mode. Each mode's steps and CFG remain independently tunable. Turbo LoRA strength only matters when Turbo mode is enabled. Adjust Depth strength to change the influence of the reference layout. Depth guidance start and end specify fractions of the sampling process and should remain ordered from start to end. Depth normalization and sky clipping change the map used both for the preview and generation. Keep the renderer on grayscale depth and the estimator in mono mode for the fixed model and depth patch. Increasing depth-estimation resolution can recover finer structure at greater memory and processing cost; it does not independently enlarge the final image.
Async's Negative
This is Negative Embedding for SD1.5, Not for SDXL . The concept was to improve quality, such as EasyNegative and veryBadImageNegative .
