Wan 2.2 - FFLF - XT 404 - Master UI
V.1.0
Perfil de ejecución
- Acceso
- Flujo externo
- Estado
- Publicado
- Versión
- I2V - X-T - FFLF.json
- Fuente
- Civitai
- Actualizado
- 18 oct 2026
What you need
- Model files
- 26.6 GiB known subtotal
Remaining hardware or download-size estimates are not available yet.
Requisitos
Modelos
5clip_vision_h.safetensors
PosibleVision model · Unknown
Checkpoint · 13.3 GB · SAFETENSORS · Unknown
Checkpoint · 13.3 GB · SAFETENSORS · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
PosibleText encoder · Unknown
- Archivo sin verificar
VAE · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
Paquetes de nodos
5- Encontrado
Paquete de nodos · Registry
- Encontrado
Paquete de nodos · Registry
- Encontrado
Paquete de nodos · Registry
- Encontrado
Paquete de nodos · Registry
- Encontrado
Paquete de nodos · Registry
Comentario generado por IA
Explicación generada por IA basada en los detalles de la fuente y la configuración. Las sugerencias están claramente identificadas.
Propósito
Wan 2.2 - FFLF - XT 404 - Master UI is a ComfyUI workflow for Wan Video 2.2 I2V-A14B that uses text and image inputs to generate video frames, can interpolate between start_image and end_image, and routes decoded frames toward video encoding.
Flujo
The described path loads a model and VAE, caches text and vision inputs, runs WanImageToVideoUltra and XT-404 Skynet 1, refines with XT-404 Skynet 3, and decodes with VAE Decode.
Decoded frames can pass through Temporal Lock Pro, OLED Dynamix, Organic Skin, and Wan Chroma Mimic before Video Combine and Wan Compressor.
Entradas y salidas
Use a text prompt and image input; the T-X Interpolator uses start_image as the origin frame and end_image as the target frame.
The workflow produces decoded frames, with Video Combine and Wan Compressor listed for video encoding.
Configuración inicial
Use ComfyUI with Wan 2.2 VAE, CLIP, and UNet/Transformer models; Python 3.10+ is listed.
FFmpeg is listed for the Compressor node, and the installation notes specify imageio-ffmpeg and scikit-image.
Dependencias
The listed node packs are ComfyLiterals, comfyui-kjnodes, comfyui-videohelpersuite, ComfyUI-WanVideoWrapper, and crt-nodes.
The listed model files are clip_vision_h.safetensors, exitiumVICTRIX_highEXITIUMVICTRIX.safetensors, exitiumVICTRIX_lowEXITIUMVICTRIX.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, and wan_2.1_vae.safetensors.
Configuración
The described sequence places XT-404 Skynet 3 after XT-404 Skynet 1 with Denoise 0.3, then runs Temporal Lock Pro, OLED Dynamix, Organic Skin, and Wan Chroma Mimic.
Wan Chroma Mimic requires reference_image; the listed values are effect_intensity 0.25, oled_contrast 0.00, skin_metal_smooth 0.25, and detail_crispness 0.2.
For the T-X Interpolator, motion_amp amplifies motion vectors between keyframes, and detail_boost sharpens before VAE compression.
Precauciones
If you plan to use GGUF quantized models, verify that ComfyUI-GGUF is available; without it, Cyberdyne Model Hub operates in Safetensors-only mode.
Sugerencia · sin verificar
The listed file wan_2.1_vae.safetensors is identified as a VAE, while the setup notes call for Wan 2.2 model components; verify which VAE your configuration should use.
Sugerencia · sin verificar
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Fuentes
1 fuente
Fuentes
1 fuenteExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractosSource context: 295 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B
Source context: 282 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B
Source context: 233 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B
