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Hoshimachi Suisei 星街すいせい / Hololive
sui1, 1girl, solo, side ponytail, hoshimachi suisei, fingerless gloves, single thighhigh, jewelry, thigh strap, bracelet, buttons, plaid dress, blue choker, blue belt, plaid skirt, mini crown, grey skirt, blue ascot,...
Flux 2 Dev with optional image references
Generate new images from text with Flux 2 Dev, optionally conditioned by one or two reference images. First run: enter a positive prompt and keep the default 1024 × 1024 output, batch size 1, 20 steps and guidance 4. Leave both Use reference stages bypassed; no image uploads are needed in this mode. Run to receive the generated image batch. Seed -1 requests fresh randomization on each run; use a fixed seed to compare settings. For reference conditioning, upload Reference image 1 or Reference image 2 and enable its matching Use reference stage. Either reference works independently, and both can contribute to one generation. Explain in the prompt how the references should inform the result. Each enabled reference is resized to approximately one megapixel before encoding. Advanced reference resolution and interpolation controls affect reference preparation, not output dimensions. References condition a new generation; they are not initial images for denoising. This graph has no negative-prompt or denoise control and does not provide a finished-image upscaling mode. Set output Width and Height in pixels, in multiples of 16. Whenever you change either, also change the corresponding Scheduler width or Scheduler height under advanced Sampling to match. These are separate controls, not automatically linked. Batch size sets the number of generated images. Advanced controls also expose guidance, sampling steps and the sampling algorithm. Requires flux2_dev_fp8mixed.safetensors, mistral_3_small_flux2_fp8.safetensors and flux2-vae.safetensors. Supplied dependency evidence identifies the VAE artifact at https://civitai.com/models/2173342?modelVersionId=2447823 but does not resolve the diffusion-model or text-encoder sources.
Edit video with Runway Aleph 2
Edit existing footage with a text description using Runway Aleph 2. For a first run, upload a source video lasting 2–30 seconds at 30 fps or lower. Replace the example surfing prompt with an English description of what should appear in the result, using 1–1000 characters. Describe the desired changes to subjects, objects, surroundings, lighting, or visual style, then run the tool and inspect the returned video. Leave Seed at -1 to randomize each run, or enter a fixed seed to reuse the generation seed. Public figure moderation offers auto and low settings for recognizable public figures; the template defaults to low. Advanced Video output controls select the output container, codec, and encoding quality. Leave their defaults for a first run. These controls change output encoding, not the requested scene edit. This tool supports text guidance only; the source template's image-guidance and keyframe branches are disconnected from generation. There are no separate output-size, duration, or frame-rate controls. Inspect the result for unintended changes, since the graph does not enforce preservation of untouched details. The source template specifies a logged-in ComfyUI comfy.org API account for the Runway partner node.
TemporalDiff Motion Module
This model was created by CiaraRowles , posted to Civitai.com with permission. Basic Getting Started Tutorial available at the Civitai Education Hub !
Atomix Wan I2V Workflow — Wan 2.2
A Simple Wan I2V workflow
Portrait relighting
Generate a relit portrait from a reference image and written lighting directions. For a first run, upload a portrait, keep the default dual rim prompt, leave aspect ratio on auto and resolution at 1K, then run. The prompt requests identity preservation, but this is generative editing: likeness, details and composition can change. Use one editable prompt to explore the five lighting recipes in the source workflow. With a reference, begin with “Maintain the identity of input image 1, modify the scene lighting and shadows to match the following lighting style:” and append one of these recipes: - Dual rim: no front key, twin hard lights from behind left and right, subject silhouetted at center, glowing edge separation on both sides, dramatic dark fill. - Overhead: hard top-down overhead key, harsh light directly above, deep under-eye and jaw shadows, pronounced brow ridge highlight, strong nose shadow pointing straight down, theatrical and sculpted. - Split: hard side key at 90 degrees, one half of the face fully lit, the other half near-black, sharp nose shadow line, minimal fill. - Rembrandt: side key slightly above, deep falloff, subtle rim separation. - Motivated practical: off-axis kicker mimicking an environmental source, strong directional spill, naturalistic shadow logic, atmospheric fill. These are editable prompt recipes within one tool, rather than separate operations or simultaneous outputs. Change the directions freely to request another lighting arrangement. Bypass Source image to generate a new portrait without a reference. In that mode, replace the identity-preservation wording with a description of the subject and desired scene, and choose an explicit aspect ratio. Auto matches the reference aspect ratio when an image is supplied. Resolution offers 1K, 2K and 4K; the node uses Gemini's native upscaler for 2K and 4K. Model selects between the two source-supported Gemini image models. Seed defaults to a fresh random value per run; a fixed value requests best-effort consistency, not deterministic reproduction. Response mode controls whether the provider also generates text, but this Pipe delivers the image only because the source text output is unconnected. Generation instructions provide advanced behavioral guidance; retain instructions to produce an image when editing them.
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.
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
Join The Tinkerer on Whop. Membership gets you early releases, private tools and a bunch of extra stuff.
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 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. ☺️
