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Psycho Style

This is a DreamArtist Textual Inversion Style Embedding trained on an image of a colorful cyberpunk-style skeleton (wearing headphones). You can expect to get some super weird colors, and intricate robotic cyberpunk...

CyberRealistic Negative - Pony v1.0

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PA7_Portrait_Tools

Portrait promptography is an art form that goes beyond simply capturing someone's physical appearance. It delves deep into the core of their being, aiming to encapsulate their essence, personality, and emotions in a...

FLUX.2 [klein] 9B1024x10248GB VRAM

FLUX.2 Klein single-image edit

Generate an edited image from one uploaded source image and written instructions with FLUX.2 Klein 9B Distilled. For a first run, upload your source image, then describe what to change and which details to retain. The supplied instruction replaces the background with a coastal cliff; replace it if that edit does not suit your image. Start with 1 megapixel, one image per run, 4 steps, guidance scale 1 and Euler sampling. Seed -1 chooses a new random seed each run; use a fixed seed when comparing instruction or control changes. Output size approximately follows the source image's aspect ratio at the chosen megapixel count. This setting resizes the reference and determines the generated canvas dimensions. Resize method controls interpolation of the uploaded reference before encoding; it is available alongside output size. Advanced controls expose image count, seed, steps, guidance scale and sampler. Larger sizes and batches require more memory. The uploaded image supplies reference conditioning. Generation starts from a fresh latent rather than directly denoising the upload, so exact preservation of identity, pose or unchanged regions is not guaranteed. There is no mask, edit-strength slider or separate negative prompt. Text conditioning for the negative branch is zeroed automatically, while the image reference is supplied to both conditioning branches. Uploaded transparency is not preserved because only the loader's RGB image output is connected. This tool accepts one source image. Combining a main image with a second visual reference belongs to the separate multi-reference edit tool.

AloeVera's SuperNegative embeddings

0.VERY IMPORTANT -> All the versions of the embeddings are available on the huggingface link. (Civitai has upload limitations). Also click on "Show more" down below for all the examples/comparisons + tips. ☺️

Upscaling1024x10248GB VRAM

Runway image generation

Generate images with Runway from a text prompt and an optional reference image. For a first run, replace the example prompt with your desired subject, setting, composition, and visual style. Keep Output shape at 1024:1024 for a square image. Reference image is enabled initially: upload one image, or bypass that stage to generate from text alone. Run to preview the generated result in Sweet Tea. With a reference image enabled, describe the result you want that image to guide. Only one reference image is accepted, and no image transformation strength control is exposed. Other output shape values must be supported by the Runway node; the draft does not enumerate them. Running requires configured ComfyUI partner API access and sufficient account credits. Generation sends the prompt and any enabled reference image to Runway and uses a paid provider call. The output stage returns images for preview without permanently saving them through ComfyUI.

CyberRealistic Negative - Pony v2.0

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Luma text to video

Generate one video from a scene description through Luma, with optional camera motion concepts. Enter a text prompt describing the subject, setting, action, lighting, and movement. This tool has no image input. Generation sends the request to Luma and requires API access and sufficient account credits. For a first run, replace the example prompt and keep Ray 2, 16:9, 720p, and 5s. Leave both camera stages bypassed and run the tool to receive the video. Enable Loop to request a looping clip. For camera concepts, enable Camera motion in the advanced controls. Its initial choices are zoom_in and orbit_left; change the four slots as needed, using None for unused slots. Enable Additional camera motion as well when you want to combine up to four more concepts with the primary stage. Its slots initially contain None. Bypassed stages do not add their own selected concepts. The model affects supported output settings: Ray 1.6 ignores duration and resolution. Re-run seed controls whether the API generation runs again, not reproducibility. Keep -1 to randomize each run; identical seeds do not reproduce the same video. Video output returns the generated clip through Sweet Tea. Keep File type and Codec at Auto for the first run, or use the advanced output controls to choose a container and codec. These settings affect output encoding, rather than the scene generated by Luma.

花想容/Chinese style/古风/中国風です Lora

推荐的质量词: masterpiece, best quality, score7, score8, highres, extremely detailed 8k, illustration, great quality, amazing quality, very aesthetic, absurdres, Chinese style,

SeedVR2 image upscale

Upscale and restore an uploaded still image with SeedVR2, returning the restored image directly. For a first run, upload an image, leave the target width at 1080 pixels and guidance at 1.01, then run. Compare the result with your original: restoration can reinterpret fine details. The target-width control accepts 1–4320 pixels. The seed defaults to -1 for a fresh random seed each run. Choose a fixed seed from 0 to 5000 when comparing guidance or other settings. Guidance accepts 0.01–2. GPU-memory conservation is enabled by default and can be toggled. Processing batch size defaults to 1; keep that starting value for the single uploaded image. It does not select the number of output variants. The fixed seedvr2_ema_3b_fp16.safetensors model and the SeedVR2 custom node must be available in the runtime. This Pipe accepts still images and has no video input or encoding mode. Uploaded transparency is not preserved because the loader's separate alpha-mask output is not connected.

veryBadImageNegative

veryBadImageNegativev1.3 uses a new training atlas and performs well when used in AOM3 and viewer-mixv1.7 .

Image to image1024x10248GB VRAM

Character motion transfer

Animate a reference character using motion poses from a source video, producing one animation assembled from five sequential generated segments. Provide a character reference image and a motion video file path accessible to the execution runtime. The image supplies appearance, reference pose and an automatic caption; the video supplies motion poses. Source audio and uploaded image transparency are not used. For a first run, use a reference showing the character's body clearly and a motion clip with one clearly visible performer. Edit both dancing prompt additions to describe your intended action. They surround the automatic reference-image caption, which remains part of the positive prompt. Keep the default six sampling steps, guidance settings, 81 frames per segment and five-frame overlap. The default output is a silent H.265 MP4. Width and height control both input resizes. The default requested portrait size is 450 by 800 pixels; actual dimensions are adjusted for divisibility by 16. Both inputs use aspect-preserving cropping, with independent reference and motion crop positions. Keep the character and relevant limbs inside each crop. Frame rate is shared between motion-source resampling and final playback. Enter a positive FPS value. Frame stride keeps every nth resampled source frame; values above 1 advance the action faster at the unchanged playback FPS. Skip initial frames selects a later starting action. Source frame limit caps loaded motion frames, with 0 meaning no cap; it does not change the number of generated segments. The graph always generates an initial segment and four continuations rather than automatically matching the full source duration. Keep frames per segment in the 4n+1 pattern, such as 81, and no greater than 256. Keep overlap below the segment length and no greater than 64. Provide enough sampled motion frames for the initial segment. Each continuation defaults to repeating the last available pose when its motion window runs out; its short-source behavior can instead require enough frames by selecting error. Reference strength and its sampling start/end fractions apply across all segments. Body, hand and face pose components can be enabled independently for the motion source and reference image. Pose strength, pose CFG and sampling start/end fractions are independent for each segment. Pose CFG has no effect while the corresponding sampler CFG is 1. The negative prompt is shared, and its influence depends on sampler CFG. Steps is shared by all five samplers. Seeds, CFG, schedule shift, scheduler and denoise are separate per-segment controls. Start with the source defaults and matching segment settings; earlier generated frames become context for later segments, so an early change can affect the remaining video. The fixed Lightx2v distillation LoRA is part of the six-step setup and has an adjustable strength. Advanced continuation context controls adjust the encoded generated-frame multiplier and noise augmentation for each later segment. Automatic caption controls affect the positive prompt used by every segment. Caption seed matters when caption sampling is enabled; the token limit is a ceiling, and lowering it can truncate the caption. Seed -1 requests fresh randomization for the caption or the corresponding video segment. Video output controls change encoding rather than generated motion. File type and codec are selectable; choose compatible combinations supported by the runtime. The source defaults are MP4, H.265, 10-bit yuv420p10le and sRGB. CRF defaults to 22; for codecs using CRF, lower values generally retain more detail and produce larger files. Bitrate is expressed in Mbps, with 0 leaving a positive bitrate unspecified. Keep pixel format and bit depth consistent with the codec. HDR encoding choices do not establish HDR detail in the generated frames.

Grok video extension

Continue an existing video with a prompted 2–10 second extension using Grok. For a first run, upload an MP4 clip lasting 2–15 seconds, replace the example space-scene prompt with what should happen next in your footage, and keep the default six-second extension. Describe the action, setting, and camera movement that should follow the clip’s ending. Extension length requests 2–10 seconds in whole-second increments; it does not set the source clip’s length or total output length. The Pipe returns the video supplied by Grok, with no separate concatenation stage. Advanced output encoding controls offer file type, codec, and CRF settings; keep their defaults for a first run. The Grok partner API requires runtime authentication. Leave Seed at -1 for randomization on each run. Seed is a rerun control, and a fixed value does not make Grok’s results reproducible.

1024x10248GB VRAM