Wan 2.5 Image to Video

Wan2.2 14b - Image to Video w/ Optional Last Frame

Nano Banana Pro Text-to-Image: Gemini 3 Pro

Z-Image Turbo - Text to Image w/ Optional Image Input (Image to Image)

Wan 2.6 Reference to Video

Fast LoRA Training for Flux via Floyo API

FLUX is great at generating images, but locking in a specific aesthetic or character is easier with a  LoRA. Here's how to create your own.

Wan2.1 FusionX Image2Video

Created by @vrgamedevgirl on Civitai, please support the original creator!

Image to Character Spin

See an image of a character spin 360 degrees. Key Inputs Image reference: Use any JPG or PNG showing your subject clearly Width & height: Default resolution settings are noted: Default image resize resolution works best for portrait images, if the image is landscape change from 480x832 to 832x480 Prompt: Follow example format: The video shows (describe the subject), performs a r0t4tion 360 degrees rotation. Denoise: The amount of variance in the new image. Higher has more variance. File Format: H.264 and more

Create Character LoRA Dataset using Qwen Image Edit 2509

Video to Video with Control Image

Breathe life into a character from an image reference using motion reference from a video. Key Inputs Image reference: Use any JPG or PNG showing your subject clearly and the style of your shot Load Video: Use any Mp4 that you would like to use for motion reference

Flux Outfit Transfer

Virtual Outfit Try-On with Auto Segmentation Try virtual clothing on any subject using Flux Dev, Ace Plus, and Redux, with automatic segmentation. Great for concept previews, fashion mockups, or character styling. Key Inputs Outfit: Load the outfit image you want to apply. Make sure it's high quality — visible artifacts or distortions may carry over into the final result. Actor: Add the subject or character you want to dress. Ideally, use a clear, front-facing image. Human Parts Ultra: Choose which parts of the body the clothing should apply to. For example, for a long-sleeve shirt, select: torso, left arm, and right arm. This helps the model align the clothing properly during generation. Prompt: Default value works for most outfits, however you may try to adjust it to describe the desired outfit.

Video to Video with Camera Control with Wan

Adjust the camera angle of an existing video, like magic.

VEO3 Future of Video Creation

SMART FACE SWAPPER - Ace++ Flux Face swap

Face swapper built with Flux and ACE++. Works with added details too, like hats, jewelry. Smart features, use natural language.

Image to Image with Flux ControlNet

Transform your images into something completely new, yet retaining specific details and composition from your original using flexible controls. Key Inputs Image reference: Use any JPG or PNG showing your subject clearly Prompt: as descriptive a prompt as possible Denoise Strength: The amount of variance in the new image. Higher has more variance. Width & height: Try and match the aspect ratio of the original if possible.

Text to Image with Multi-LoRA

Create consistent images with multiple LoRA models.

Text to Image + LoRA model

Create an image from a trained AI model of something specific ( a specific figure, outfit, art style, product etc) to ensure specific details within.

Wan2.6 Image to Video

Nano Banana Pro for Multi Grid View of Product Ads

Create grids of different angles for your ecommerce products.

Vertical Video Light & Mood Shift

FlashVSR Upscale Your Videos Instantly

Vertical Video FX Insterter / Element Pass with Seedream + Wan

Wan 2.1 Text2Image

Created by @yanokusnir on Reddit, please support the original creator! https://www.reddit.com/r/StableDiffusion/comments/1lu7nxx/wan_21_txt2img_is_amazing/ If this is your workflow, please contact us at team@floyo.ai to claim it! Original post from the creator: Hello. This may not be news to some of you, but Wan 2.1 can generate beautiful cinematic images. I was wondering how Wan would work if I generated only one frame, so to use it as a txt2img model. I am honestly shocked by the results. All the attached images were generated in fullHD (1920x1080px) and on my RTX 4080 graphics card (16GB VRAM) it took about 42s per image. I used the GGUF model Q5_K_S, but I also tried Q3_K_S and the quality was still great. The only postprocessing I did was adding film grain. It adds the right vibe to the images and it wouldn't be as good without it. Last thing: For the first 5 images I used sampler euler with beta scheluder - the images are beautiful with vibrant colors. For the last three I used ddim_uniform as the scheluder and as you can see they are different, but I like the look even though it is not as striking. :) Enjoy.

SeC Video Segmentation: Unleashing Adaptive, Semantic Object Tracking

Vertical Video Character Face & Actor Swap (Wan 2.2 Animate)

FLUX.2 Klein 9B for Image Editing

Unified workflow: one model for text‑to‑image, image‑to‑image, and image editing

Kling 2.6 Standard Motion Control

Create an excellent for movement for your characters using Kling 2.6 Standard Motion Control

Flux Image Upscaler with UltimateSD

A simple workflow to enlarge & add detail to an existing image. Key Inputs Image: Use any JPG or PNG Upscale by: The factor of magnification Denoise: The amount of variance in the new image. Higher has more variance.

Image Redux with Flux

Create variations of a given image, or restyle them. It can be used to refine, explore, or transform ideas and concepts. Key Inputs Image reference: Use any JPG or PNG showing your subject clearly Width & height: In pixels Prompt: as descriptive a prompt as possible Strength (step 5: value): Strength of redux model, play around with the value to increase or decrease the amount of variation

Seedream 4.5 Image Generation

Simple Self-Forcing Wan1.3B+Vace workflow

Created by @davcha on Civitai, please support the original creator! https://civitai.com/models/1674121/simple-self-forcing-wan13bvace-workflow If this is your workflow, please contact us at team@floyo.ai to claim it! Original guide from creator: This is a very simple workflow to run Self-Forcing Wan 1.3B + Vace, it only uses a single custom node, which everyone making videos should have: Kosinkadink/ComfyUI-VideoHelperSuite. Everything else is pure comfy core. You'll need to download the model of your choice from here lym00/Wan2.1-T2V-1.3B-Self-Forcing-VACE · Hugging Face, and put it inside your /path/to/models/diffusion_models folder. This workflow can be used as a very good start for experimenting. You can refer to this [2503.07598] VACE: All-in-One Video Creation and Editing for how to use Vace. You don't need to read the paper of course, the information you are interested in is mostly at the top of page 7, which I reproduce in the following: Basically, in the WanVaceToVideo node, you have 3 optional inputs: control_video, control_masks, and reference_image. control_video and control_masks are a little bit misleading. You don't have to provide a full video. You can in fact provide a variety of things to obtain various effects. For example: if you provide a single image, it's basically more or less equivalent to image2video. if you provide a sequence of images separated by empty images: img1, black, black, black, img2, black, black, black, img3, etc... then it's equivalent to interpolating all these img, filling the blacks. A special case of this one to make it clear is if you have img1, black, black, ..., black, img2, then it's equivalent to start_img, end_img to video. control_masks control where Wan should paint. Basically if wherever the mask is 1, the original image will be kept. So you can for example pad and/or mask an input image, like this: and use that image and mask as control_video and control_mask, and you'll basically do a image2video inpaint and outpaint. If you input a video in control_video, then you can control where the changes should happen in the same way, using control_mask. You'll need to set one mask per frame in the video. if you input an image preprocessed with openpose or a depthmap, you can finely control the movement in the video output. reference_image node is basically an image that you feed to Wan+Vace that serves as a reference point. For example, if you put the image of someone's face here, there's a good chance you'll get a video with that person's face.

ElevenLabs Text to Speech

ElevenLabs Text to Speech

VibeVoice Text to Speech Multi Speaker

Speech Multi Speaker

Wan Alpha Create Transparent Videos

Image to Video with Seedance Pro API

🔥Create Stunning 10 Second 3D Spin Shots in Seedance for Characters, Products, and Hero Scenes

Wan2.6 Text to Video