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[WAN2.2]SkinMorph_Redmond_high_noise.safetensors
146 MB · SafeTensor
Pobieranie obsługuje Civitai. Niektórzy twórcy wymagają najpierw zalogowania się na Civitai.
O tym modelu
WAN · LoRA
by artificialguybr - SkinMorph - Redmond - I2V - 14B
Notatki twórcy
💖 Support My Work & Explore More
If this model is useful to you, your support helps me keep publishing free models and open-source AI tools.
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Discover more of my models, projects, and practical AI resources:
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Portfolio: — models, projects, and experiments.
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Special Thanks: This project was made possible thanks to generous sponsorship and GPU time provided by Redmond Ai. We are grateful for their support in training this LoRA.
Skin Morph LoRA for Wan I2V
Model Description
This LoRA specializes in creating seamless skin morphing effects that transform one person into another with stunning realism. Watch as faces and bodies smoothly transition between different identities, genders, or even fictional characters. Perfect for character transformations, identity changes, and creating mesmerizing metamorphosis sequences.
Trigger Words
The trigger phrase is Skin morph.
For best results, use “Skin morph” in your prompt when describing the transformation you want to animate. The model will create a smooth morphing sequence between the original subject and the target transformation.
Setup for ComfyUI
To use this LoRA in ComfyUI, simply place the files in your loras directory:
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Download both [WAN2.2]SkinMorph_Redmond_low_noise.safetensors and [WAN2.2]SkinMorph_Redmond_high_noise.safetensors and place them in ComfyUI/models/loras/
Ensure your ComfyUI environment is already configured to run Wan I2V models.
Example Workflow (ComfyUI)
In your ComfyUI workflow, add a Load LoRA node after your base model loader.
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Load your base Wan I2V model.
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Connect the output of the model loader to the model input of the Load LoRA node.
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Select both [WAN2.2]SkinMorph_Redmond_low_noise.safetensors and [WAN2.2]SkinMorph_Redmond_high_noise.safetensors in the Load LoRA node.
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Connect the MODEL output of the LoRA node to your KSampler.
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Adjust the strength_model as needed (0.8-1.0 is a good starting point).
Example Prompts
Here are some example prompts to get you started with Skin Morph:
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Man morph to a basketball player. Skin morph
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Man morph to a woman. Skin morph.
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Boy morph in a james bond suit. Skin morph.
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Man morph into a woman. Skin morph.
Słowa wyzwalające
Skin morph
SHA256
10659116AB688105B704AC0FEFEC3ACA12F5E52F2189F49FF9D581F064FB1563
ID modelu ModelTrends.ai
#23400
Zgłoś treść
Przykładowe rendery
Prompty i ustawienia udostępnione przez osoby, które wykonały te rendery na Civitai. Wybierz render, aby zobaczyć, jak powstał.
Ustawienia
Rozmiar
1080x1920
Prompt
A realistic man with short dark hair wearing a white shirt, arms crossed, standing in a leafy, earthy garden.
He undergoes a dramatic biological transformation, merging with his environment.
**Skin morph** activates, turning his skin into the iconic striped blue texture of a Na'vi man from James Cameron's Avatar.
His facial structure gracefully shifts, nose widening and ears becoming pointed, while his eyes turn large and golden.
The white shirt dissolves into intricate tribal jewelry and vibrant pink feather accents.
Simultaneously, the background rapidly evolves from an earth garden: trees and plants morph into exotic bioluminescent flora, and giant neon purple mushrooms spontaneously grow and bloom, illuminating the scene as a magical jungle of Pandora.
Cinematic, high fidelity, smooth, mystical transition, photorealistic, 4k.
Ustawienia
Rozmiar
720x1296
Prompt
A 40years old {balding |}{white|black|Indian|Asian} man with grey short hair{ and scruffy facial hair|} is posing. He wears a {black|white} {tshirt|tank top} and {blue|dark gray|khaki} {jeans|pants}. the Man morphs into a young beautiful Chinese woman. Skin morph.
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skinmorph high wan to LoRA z rodziny Wan wymieniony na ModelTrends.ai, katalogu tylko do odczytu otwartych modeli AI do obrazów, wideo i tekstu. Porównaj go z innymi modelami Wan, sprawdź wynik popularności, aby zobaczyć trend, i otwórz na PirateDiffusion lub BitVector, aby wypróbować.
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