Workflow: Image -&gt; Autocaption (Prompt) -&gt; WAN I2V with Upscale and Frame Interpolation and Video Extension<ul><li>Creates Video Clips with 480p - 720p resolution.</li></ul><hr />Wan2.2 14B Image to Video MultiClip Version re-work with LongLook<ul><li>create clips with 4-6 steps and extend up to 3 times, see examples posted with 15-20sec of length.</li><li>using LongLook nodes for improved processing: <a target="_blank" rel="ugc" href="https://github.com/shootthesound/comfyUI-LongLook">https://github.com/shootthesound/comfyUI-LongLook</a><ul><li>Increase overall quality for fast pace or complex motion clips</li><li>Uses chunk of last frames for better continuity when extending</li><li>Can pack more motion within a clip with 1 parameter, reduce slomo</li></ul></li><li>process with improved Wan 2.2 models, Smoothmix with baked in LightX and other (including NSFW) Loras: <a target="_blank" rel="ugc" href="https://huggingface.co/Bedovyy/smoothMixWan22-I2V-GGUF/tree/main">https://huggingface.co/Bedovyy/smoothMixWan22-I2V-GGUF/tree/main</a></li><li>removed some custom nodes and replaced them with comfy core nodes where possible</li></ul>Normal Version with own prompts, ideal to use for NSFW or specific clips with Loras.Ollama Version, using an uncensored Qwen LLM to autocreate prompts for each clip sequence.<ul><li>Ollama model (reads prompt only, fast): <a target="_blank" rel="ugc" href="https://ollama.com/goonsai/josiefied-qwen2.5-7b-abliterated-v2">https://ollama.com/goonsai/josiefied-qwen2.5-7b-abliterated-v2</a></li><li>alternative model with Vision (reads input image+prompt, slower, it can do reasoning by enabling "think" in Ollama generate node): <a target="_blank" rel="ugc" href="https://ollama.com/huihui_ai/qwen3-vl-abliterated">https://ollama.com/huihui_ai/qwen3-vl-abliterated</a></li></ul><hr />About below Versions: There is a Florence Caption Version and a LTX Prompt Enhancer (LTXPE) version. LTXPE is more heavy on VRAM.Version use cases:<ul><li>Create longer NSFW or specific clips with Loras and own prompts =&gt; MultiClip (14B) Normal</li><li>Create longer clips with autoprompts =&gt; MultiClip (14B) LTXPE or MultiClip_LTXPE+*</li><li>Generate short 5sec clips with own prompts or autoprompts =&gt; V1.0 (14B model) Florence or LTXPE*</li></ul>*LTX Prompt Enhancer (LTXPE) might have issues with latest Comfy and Lightricks update<a target="_blank" rel="ugc" href="https://civarchive.com/models/1823416?commentId=1017869&amp;dialog=commentThread">https://civarchive.com/models/1823416?commentId=1017869&amp;dialog=commentThread</a><hr />MultiClip LTXPE PLUS: Wan 2.2. 14B I2V Version based on below MultiClip workflow with improved LTX Prompt Enhancer (LTXPE) features (see notes in workflow). You may want to try below MultiClip workflow first.Workflow enhances the LTXPE features to give more control over the prompt generation, it uses an uncensored language model, the video generation part is identical to below version. More Info: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1823416?modelVersionId=2303138&amp;dialog=commentThread&amp;commentId=972440">https://civarchive.com/models/1823416?modelVersionId=2303138&amp;dialog=commentThread&amp;commentId=972440</a><hr />MultiClip: Wan 2.2. 14B I2V Version supporting LightX2V Wan 2.2. Loras to create clips with 4-6 steps and extend up to 3 times, see examples posted with 15-20sec of length.There is a normal version which allows to use own prompts and a version using LTXPE for autoprompting. Normal version works well for specific or NSFW clips with Loras and the LTXPE is made to just drop an image, set width/height and hit run. The clips are combined to one full video at the end.<ul><li>supporting new Wan 2.2. LightX2v Loras for low steps</li><li>Single Clip Versions included, which correspond to below V1.0 Workflow with additional Lora loader for "old" Wan 2.1. LightX2v Lora.</li></ul>Since Wan 2.2 uses 2 models, the workflow gets complex. Still recommend to check the Wan 2.1 MultiClip Version, which is much leaner and has a rich selection of Loras. It can be found here: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1309065?modelVersionId=1998473">https://civarchive.com/models/1309065?modelVersionId=1998473</a><hr />V1.0 WAN 2.2. 14B Image to Video workflow with LightX2v I2V Wan 2.2 Lora support for low steps (4-8 steps)<ul><li>Wan 2.2. uses 2 models to process a clip. A High Noise and a Low Noise model, processed in sequence.</li><li>compatible with LightX2v Loras to process clips fast with low steps.</li></ul><hr />Models can be donwloaded here:Vanilla Wan2.2 Models (Low &amp; High Noise required, pick the ones matching your Vram): <a target="_blank" rel="ugc" href="https://huggingface.co/bullerwins/Wan2.2-I2V-A14B-GGUF/tree/main">https://huggingface.co/bullerwins/Wan2.2-I2V-A14B-GGUF/tree/main</a>orig. LightX2v Loras for Wan 2.2. (I2v, Hi and Lo): <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/tree/main/LoRAs/Wan22-Lightning/old">https://huggingface.co/Kijai/WanVideo_comfy/tree/main/LoRAs/Wan22-Lightning/old</a>Oct.14th 25: 2 New LightX Highnoise Loras (MoE and 1030) are out , try with strength &gt; 1.5, 7 steps, SD3 shift =5.0. replace High Noise Lora:<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/tree/main/LoRAs/Wan22_Lightx2v">https://huggingface.co/Kijai/WanVideo_comfy/tree/main/LoRAs/Wan22_Lightx2v</a>Oct. 22nd 25: another LightX Lora has just been released (named 1022), recommended:<a target="_blank" rel="ugc" href="https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main">https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main</a>Vae (same as Wan 2.1): <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/vae">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/vae</a>Textencoder (same as Wan 2.1): <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders">https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders</a><hr />Alternative / newer Wan 2.2. 14B model merges:<a target="_blank" rel="ugc" href="https://civarchive.com/models/1823416/wan-22-image-to-video-with-caption-and-postprocessing?dialog=commentThread&amp;commentId=1060392">https://civarchive.com/models/1823416/wan-22-image-to-video-with-caption-and-postprocessing?dialog=commentThread&amp;commentId=1060392</a><hr />WAN 2.2. I2V 5B Model (GGUF) workflow with Florence or LTXPE auto caption<ul><li>lower quality than 14B model</li><li>720p @ 24 frames</li><li>with FastWan Lora use CFG of 1 and 4-5 Steps, place a LoraLoader node after Unet Loader to inject Lora</li></ul>FastWan Lora: <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/tree/main/FastWan">https://huggingface.co/Kijai/WanVideo_comfy/tree/main/FastWan</a>Model (GGUF, pick model matching your Vram): <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF/tree/main">https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF/tree/main</a>VAE : <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/vae">https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/vae</a>Textencoder (same as Wan 2.1) :<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders">https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders</a><hr />location to save those files within your Comfyui folder:Wan GGUF Model -&gt; models/unetTextencoder -&gt; models/clipVae -&gt; models/vae<hr />Tips (for 14b Model):<ul><li>Wan 2.2. I2V Prompting Tips: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1823416?modelVersionId=2063446&amp;dialog=commentThread&amp;commentId=890880">https://civarchive.com/models/1823416?modelVersionId=2063446&amp;dialog=commentThread&amp;commentId=890880</a></li><li>What GGUF Model to download? I usually go for a model with around 10gb of size with my 16gb Vram/64gb Ram. (i.e. "...Q4_K_M.gguf" model)</li><li>Play with LightX Lora strength (ca.1.5) to increase motion/reduce slomo</li><li>If you face issues with LTXPE see this thread: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1823416?dialog=commentThread&amp;commentId=955337">https://civarchive.com/models/1823416?dialog=commentThread&amp;commentId=955337</a></li><li>Last Frame: If you face issues finding the pack for that node: <a target="_blank" rel="ugc" href="https://github.com/DoctorDiffusion/ComfyUI-MediaMixer">https://github.com/DoctorDiffusion/ComfyUI-MediaMixer</a></li></ul>

WAN 2.2 IMAGE to VIDEO with Caption and Postprocessing

Wan2.2 MultiClip Image2Video with LTX Prompt Enhancer PLUS<ul><li>Workflow to create and extend autoprompted video Clips with LTXPE Plus</li><li>Workflow to create Prompts only for testing LTXPE Plus</li></ul>

wan22IMAGEToVIDEOWith_multiclipLTXPE.zip

MultiClip_LTXPE+

MultiClip LongLook (14B)

MultiClip (14B)

Experimental

5B Model

v1.0 (14B model)

<h1 id="the-simplest-anime-character-creation-workflow-you-can-download-and-use">The simplest anime character creation workflow you can download and use</h1><h3></h3><h3 id="what-you-need-to-download:">What you need to download:</h3>- FEUX-LazyEmbeddingAnimayhemPaleRider Workflows. ()- AniMayhem - Pale Rider Checkpoint Merge.- From Lazy Embeddings for ALL, lazyneg, lazyhand, lazyloli, lazypos.What to do after downloading the necessary files:First, you need to place the files in the correct folders. Be careful not to make any mistakes here.- Place all the Lazy Embeddings files you downloaded (lazyneg <a target="_blank" rel="ugc" href="https://civarchive.com/models/1302719?modelVersionId=2121199">https://civarchive.com/models/1302719?modelVersionId=2121199</a>, lazyhand <a target="_blank" rel="ugc" href="https://civarchive.com/models/1302719?modelVersionId=2268235">https://civarchive.com/models/1302719?modelVersionId=2268235</a>, lazyloli <a target="_blank" rel="ugc" href="https://civarchive.com/models/1302719?modelVersionId=1833199">https://civarchive.com/models/1302719?modelVersionId=1833199</a>, lazypos <a target="_blank" rel="ugc" href="https://civarchive.com/models/1302719?modelVersionId=1833157">https://civarchive.com/models/1302719?modelVersionId=1833157</a>)in the ComfyUI\models\embeddings path.- The other file you downloaded, AniMayhem - Pale Rider Checkpoint Merge (<a target="_blank" rel="ugc" href="https://civarchive.com/models/1984400/animayhem-pale-rider">https://civarchive.com/models/1984400/animayhem-pale-rider</a>), should be placed in the ComfyUI\models\checkpoints directory.Finally, right-click on an empty area within comfyui to open the menu, select Node Templates &gt; Manage &gt; Importand then select the downloaded FEUX-LazyEmbeddingAnimayhemPaleRider Workflows.When you do this, the workflows will not appear immediately. To view the workflows and nodes, right-click on an empty area again with your mouse. When you select the Node Templates box in the menu that opens, you will be able to view the workflows you downloaded.It will load automatically when you click on it.<h3 id="usage-instructions-(simple-explanation)">Usage Instructions (Simple Explanation)</h3>The steps to use it are very simple. If you're new to this like me, I'll try to explain it in a way that you can understand as best as I can.- First, if it's not already selected in Load Checkpoints, select animayhemPaleRider_v2TrueGrit.safetensors.- I usually use the KSampler settings as follows.(seed - don't touch this if you don't want to generate a fixed image.Note - If you have set a seed to generate a fixed image, you should use fixed instead of control after generate - randomize when generating again.control after generate - randomizesteps - 50cfg - 2.0,sampler_name - dpmpp_2mscheduler - karrasdenoise - 1)- The Empty Latent Image node is for setting the size of your image. The size I used (width - 832, height - 1216)<h3 id="here's-a-prompt-you-can-use-for-testing">Here's a prompt you can use for testing</h3>Positive Prompt -Note - You should write the positive prompt in the text_g section of the CLIPTextEncodeSDXL (Positive) node. If you don't have a prompt for text_l, leave it blank instead of making things up.lazypos, lazyhand, lazyloli,1woman,deep black hair, bob hair, hair over one eye, blue eyes, villainess,smirk, closed mouth,orgasm face, masterpiece,high detailed skin, best quality, high res, very aesthetic, villainess,smirk,perfect eyes, (colorful:1.3), (detailed face:1.4),evil smile, lush lips, natural breasts, (close-up portrait off-shoulder, highly detailed, masterpiece, best quality, hyper detailed, cinematic composition) (masterpiece, best quality, ultra-detailed, absurdres, highres, 8k, very aesthetic, highly detailed, cinematic, full detailed, detailed hair, detailed face, detailed eyes) evil grin, bare breasts, exposed breasts, BREAK gothic mini dress, orange fur trimmed, black patterned gothic dress, black sheer embroidered short sleeves, black see-through short sleeves, see-through sleeves, white fur boa, cross-laced boots, animal collar, bracelets, earrings, thick thighs, wide hips, huge natural breasts, bursting breasts, deep cleavage, laced cleavage, perspective shot, dynamic angle, focus, smirk, warm atmosphere, in heat, cocktail bar, twinkle, sitting at bar, legs crossed, hand on knee, looking away, beautiful face, beautiful eyes, detailed eyes, sharp focus, highest quality, ultra HD, high resolution, 8K, official_anime_key_visual, sharp lines, vivid contrast, glossy texture, soft lighting, tonal balance, high aesthetic sense, shadow gradation, and visual harmony, BREAK, Hype4realisticNegative Prompt -Note - You should write the negative prompt in the text_g section of the CLIPTextEncodeSDXL (Negative) node. If you don't have a prompt for text_l, leave it blank instead of making things up.lazyneg, lazyhand, lazyloli, shiny skin, shiny clothes, text, words, logo, artist name, watermark, red eyes,

Files with SHA256: 3184f6ba622511a27cc1aa12f8ea536bb124046835f9e86ff28bec6df62da2c5