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Yor Forger - Thorn Princess version - TI Embedding by Corneo
This is a textual inversion embedding for Yor Forger / Yor Briar from Spy x Family in her Thorn Princess assassin outfit.
pony_negative for PianoMix
Even if you don't specify all the troublesome prompts, you can get a certain result by specifying one negative prompt.
Lens Text to Image
Create one image or a batch from a text prompt using the fixed Lens model, Lens text encoder, and Flux 2 VAE. No uploaded image is required. For a first run, describe your subject, composition, lighting, and style in Positive prompt, or use the supplied flower example. Leave Negative prompt empty unless you have specific exclusions. Keep the square, 2-megapixel output and supplied sampling defaults: 20 steps, CFG 5, Euler, and the simple schedule. Seed -1 chooses fresh starting noise on each run; use a nonnegative seed to select a fixed starting noise pattern. Increase Image count to generate multiple images together. Aspect ratio and Target megapixels jointly determine the output dimensions. Dimensions are aligned to multiples of eight and shared by the latent canvas and model sampling setup. Megapixels is an approximate pixel budget rather than a fixed width or height. Larger sizes and batches require more memory. CFG controls prompt guidance, including the influence of negative conditioning. Advanced controls select the sampling algorithm, distribute noise levels across the requested steps, and adjust CFG normalization and resolution-dependent sampling shifts. Pre-CFG normalization applies normalization before CFG combination without clamping and can amplify predictions; the default post-CFG mode only attenuates them. Base shift and Maximum shift work together with the selected output dimensions. Leave Add noise enabled and Denoise at 1 for ordinary text-to-image generation. Lower Denoise uses a shortened noise schedule on an empty latent canvas; it does not preserve or transform an existing image. Disabling Add noise removes the seeded starting-noise initialization, so the seed no longer controls that initialization. All generated images are returned through one batch image output using Sweet Tea's output transport. The workflow does not permanently save images through the original SaveImage node. The model stack and dimension plumbing are fixed; this Pipe does not accept an input image.
NewBie Exp0.1 Anime Image Generator
Generate anime illustrations from structured character tags and a prose scene caption using the fixed NewBie Image Exp0.1 model stack. Both text fields are inserted into a fixed positive prompt template; a separate negative prompt supplies negative conditioning. The result is an image or image batch returned through Sweet Tea's preview output, without permanent server-side saving. For a first run, keep the supplied character example and negative prompt, 1024 × 1536 dimensions, batch size 1, 20 steps, CFG 5.5, res_multistep sampler, simple scheduler, denoising amount 1 and sampling shift 6. Run the tool to generate the portrait example. No uploaded media is required. For another scene, edit both the structured prompt and scene caption so they describe the same subject, action, composition, background and lighting. Follow the example's XML-style tags and retain its character_1 structure and $character_1$ reference to match the fixed template. The template's character identifier and bounding box are fixed. Caption citation markers and Markdown are literal prompt text; the tool does not fetch references or render that formatting. The supplied negative prompt is encoded as text, not executed as an instruction. Width and height are pixels in multiples of 16. Batch size sets how many images are returned; larger dimensions and batches increase memory demand. Seed -1 chooses a new random seed each run. Use a fixed seed when comparing prompt or sampling changes. Advanced sampling settings expose steps, prompt guidance (CFG), sampler, scheduler, denoising amount and model sampling shift. Steps set the denoising iteration count; CFG changes conditioning strength. Sampler chooses the denoising algorithm, while scheduler and sampling shift affect its noise schedule. Denoising amount changes the sampled noise range; keep 1 for the supplied setup. Lowering it does not enable image-to-image generation. This tool generates from an empty latent. It has no image upload, caption generation, image-to-image mode or optional processing stages. Model selection and prompt assembly remain fixed.
Topaz Bloom 2 image enhancement
Enhance an uploaded image with the workflow's fixed Topaz Bloom 2 preset and preview the enhanced result. For a first run, upload your source image and run the Pipe. The image upload is required and is the only editable control. The source configuration uses an empty prompt; its accompanying guidance says this lets the model create a prompt automatically. Prompt, seed, model selection and enhancement settings are fixed in this Pipe. No alternate modes or optional stages are exposed. Uploaded transparency is not preserved. Output scale and repeatable results are not established by the supplied source evidence. The selected output is an image preview; the original save node's PNG encoding settings do not apply to this output.
Create images from two references
Generate or edit an image with Gemini using two reference images and a written instruction. Upload both references, then explain which subjects, details or style to take from each. Both uploads are required and are sent together as context for one image request, rather than processed into separate outputs. For a first run, upload character and clothing references, describe how to combine them in a casual fashion pose, and keep the supplied 1:1 aspect ratio and 1K resolution. The references have no fixed character or clothing roles; you can request other compositions or edits. Choose an explicit aspect ratio for the output shape. Auto asks Gemini to match the input image proportions; an explicit ratio avoids ambiguity when the references differ. Resolution selects 1K, 2K or 4K; 2K and 4K use Gemini's native upscaler. The model selector offers Gemini 3 Pro Image Preview and Nano Banana 2 (Gemini 3.1 Flash Image). System instructions set foundational behavior; the supplied instructions prioritize interpreting the prompt visually and producing an image. Keep IMAGE for image-only responses, or select IMAGE+TEXT to request accompanying text from Gemini. This Pipe returns only generated images, so accompanying text is not delivered. Use seed -1 for a new random seed each run. Fixed seeds request best-effort consistency, not identical results. Reference details are interpreted by the model, so exact identity or garment reproduction is not guaranteed. Uploaded alpha masks are not connected, so reference transparency is not preserved. This workflow sends the prompt and reference images to Gemini through a paid provider request. Generated images are returned to Sweet Tea through an output transport that does not permanently save them through the workflow.
Gemini image editing with document context
Create an image from a required reference image and written instructions using Gemini, with optional text or PDF context. The generated image is delivered as the Pipe result. For a first run, upload a reference image, replace the example prompt with the changes you want, and describe which details to retain. Leave Aspect ratio on auto to follow the reference image's proportions, leave both document stages disabled, and run the Pipe. Choose an explicit aspect ratio to request different output proportions. To add document context, place a .txt or .pdf file in ComfyUI/input, enter its filename in the relevant document field, and enable that stage. These fields select existing files rather than uploading documents, and their empty defaults must be filled before enabling them. Either stage can be used independently; enable both with distinct files to supply two documents. Explain in your prompt how Gemini should use their contents. Seed -1 randomizes each run. A fixed seed requests best-effort consistency; identical results are not guaranteed. Generation instructions govern Gemini's interpretation of the prompt. Retain the directive to produce an image when editing them. Response format supports IMAGE and IMAGE+TEXT, but accompanying text is not delivered by this Pipe. This workflow requires a reference image even though Gemini supports other generation modes. Uploaded transparency is not preserved through the connected RGB image path. Image creation uses the Gemini provider and sends the reference image, instructions and enabled document context to that provider; provider billing applies.
ACE-Step music remix
Remix an uploaded music track with ACE-Step using style tags and lyrics, then export the result as MP3. For a first run, upload the audio excerpt you want to remix, replace the example style tags and lyrics with your intended direction, and keep the sampling defaults, including remix strength 0.3. Describe genre, instruments, mood, tempo and vocal character with comma-separated tags. Enter intended sung words with section labels and line breaks. Lyrics and tags guide generation; they do not guarantee exact words or performance. Remix strength ranges from 0 to 1: lower values retain more source structure, while higher values permit larger changes. Lyrics strength adjusts lyric conditioning, and CFG controls overall text guidance. The uploaded audio supplies the starting latent and temporal extent. Prepare your excerpt before uploading: this tool has no trimming, independent duration control or separate text-to-music mode. Negative conditioning is zeroed internally, with no editable negative prompt. Use seed -1 for random variations or a fixed nonnegative seed to compare settings. Steps, sampler and scheduler control denoising. Advanced latent tonemap multiplier and sampling shift controls change internal guidance and model sampling; retain their source defaults of 1 and 5 for a first run. Sampling shift is not an audio timing offset. MP3 quality offers V0 variable bitrate, 128k and 320k. This controls file encoding rather than the generated composition. For multilingual lyrics, the supplied source guidance calls for manual romanization and language markers such as [zh], [ja] or [ko]; automatic transliteration is absent. The workflow requires ace_step_v1_3.5b.safetensors in the ComfyUI checkpoints model directory. The supplied model source is https://huggingface.co/Comfy-Org/ACE-Step_ComfyUI_repackaged/resolve/main/all_in_one/ace_step_v1_3.5b.safetensors?download=true. The supplied dependency catalog has not resolved this checkpoint.
Anima masked image generation
Generate images from a prompt using Anima's LLLite image-and-mask guidance. Each run returns the generated image batch and a preview of the guidance mask. Before your first run, prepare a Painter PNG asset reference accessible to the execution runtime. Painted mask is a required text reference, not a PNG upload or an interactive painting editor. This Pipe does not create that asset for you. Enter the reference, upload a source image, replace the example prompt with your desired result, and start with the 1024 × 1024 output, one variant and Turbo enabled. Inspect the returned mask preview alongside the generated images. To work without a source image, disable the Source image stage. Painter then uses its blank-canvas width, height and background color; the Painter asset reference is still required. Leaving the upload empty while the stage remains enabled does not select blank-canvas mode. Canvas dimensions and generated output dimensions are independent controls. Prepare compatible image, mask and output sizes before running; the disconnected source resize node does not resize uploads. Turbo mode selects the Turbo LoRA and its own steps and CFG controls, initially 8 steps and CFG 1. Disabling Turbo selects the model without that LoRA and the standard controls, initially 30 steps and CFG 4. Both modes retain image-and-mask guidance. Turbo LoRA strength affects the Turbo branch only. Control strength scales the inpainting patch's influence, while Guidance start and Guidance end specify fractions of sampling from 0 to 1; keep start at or below end. Advanced controls include the negative prompt, separate steps and CFG for each mode, Turbo LoRA strength, sampler, scheduler and denoise. Seed -1 requests fresh random noise; a fixed seed reuses the initial noise. Width and height specify generated pixels in multiples of 8, and Variants sets the image count. Generation starts from an empty latent rather than an encoded source image. There is no final compositing stage to restore pixels outside the mask, so exact preservation of unedited regions and uploaded transparency is unsupported. Lowering denoise does not provide source-image preservation. The runtime needs anima-base-v1.0.safetensors in diffusion_models, anima-lllite-inpainting-v2.safetensors in model_patches, qwen_3_06b_base.safetensors in text_encoders, and qwen_image_vae.safetensors in vae. Turbo mode additionally selects anima-turbo-lora-v0.2.safetensors in loras. Source installation references are the circlestone-labs/Anima, Comfy-Org/Anima-LLLite and circlestone-labs/Anima-Official-LoRAs repositories on Hugging Face. The runtime must also provide the workflow's node implementations and Sweet Tea image output transport.
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,...
