Extending Wan 2.1 generated video - First 14b 720p text to video, then using last frame automatically to to generate a video with 14b 720p image to video - with RIFE 32 FPS 10 second 1280x720p video
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Extending Wan 2.1 generated video - First 14b 720p text to video, then using last frame automatically to to generate a video with 14b 720p image to video - with RIFE 32 FPS 10 second 1280x720p video
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Our app has this fully automated : 
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Our app has this fully automated : 
https://www.patreon.com/posts/123105403
https://www.patreon.com/posts/123105403
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Here how it works image : 
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Here how it works image : 
https://ibb.co/b582z3R6
https://ibb.co/b582z3R6
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Workflow is easy
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Workflow is easy
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Use your favorite app to generate initial video.
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Use your favorite app to generate initial video.
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Get last frame
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Get last frame
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Give last frame to image to video model - with matching model and resolution
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Give last frame to image to video model - with matching model and resolution
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Generate
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Generate
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And merge
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And merge
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Then use MMAudio to add sound
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Then use MMAudio to add sound
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I made it automated in my Wan 2.1 app but can be made with ComfyUI easily as well . I can extend as many as times i want :)
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I made it automated in my Wan 2.1 app but can be made with ComfyUI easily as well . I can extend as many as times i want :)
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Here initial video
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Here initial video
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Prompt: Close-up shot of a Roman gladiator, wearing a leather loincloth and armored gloves, standing confidently with a determined expression, holding a sword and shield. The lighting highlights his muscular build and the textures of his worn armor.
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Prompt: Close-up shot of a Roman gladiator, wearing a leather loincloth and armored gloves, standing confidently with a determined expression, holding a sword and shield. The lighting highlights his muscular build and the textures of his worn armor.
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Negative Prompt: Overexposure, static, blurred details, subtitles, paintings, pictures, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, mutilated, redundant fingers, poorly painted hands, poorly painted faces, deformed, disfigured, deformed limbs, fused fingers, cluttered background, three legs, a lot of people in the background, upside down
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Negative Prompt: Overexposure, static, blurred details, subtitles, paintings, pictures, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, mutilated, redundant fingers, poorly painted hands, poorly painted faces, deformed, disfigured, deformed limbs, fused fingers, cluttered background, three legs, a lot of people in the background, upside down
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Used Model: WAN 2.1 14B Text-to-Video
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Used Model: WAN 2.1 14B Text-to-Video
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Number of Inference Steps: 20
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Number of Inference Steps: 20
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CFG Scale: 6
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CFG Scale: 6
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Sigma Shift: 10
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Sigma Shift: 10
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Seed: 224866642
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Seed: 224866642
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Number of Frames: 81
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Number of Frames: 81
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Denoising Strength: N/A
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Denoising Strength: N/A
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LoRA Model: None
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LoRA Model: None
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TeaCache Enabled: True
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TeaCache Enabled: True
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TeaCache L1 Threshold: 0.15
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TeaCache L1 Threshold: 0.15
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TeaCache Model ID: Wan2.1-T2V-14B
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TeaCache Model ID: Wan2.1-T2V-14B
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Precision: BF16
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Precision: BF16
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Auto Crop: Enabled
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Auto Crop: Enabled
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Final Resolution: 1280x720
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Final Resolution: 1280x720
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Generation Duration: 770.66 seconds
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Generation Duration: 770.66 seconds
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Extending Wan 2.1 generated video - First 14b 720p text to video, then using last frame automatically to to generate a video with 14b 720p image to video - with RIFE 32 FPS 10 second 1280x720p video

Our app has this fully automated : https://www.patreon.com/posts/123105403

Here how it works image : https://ibb.co/b582z3R6

Workflow is easy

Use your favorite app to generate initial video.

Get last frame

Give last frame to image to video model - with matching model and resolution

Generate

And merge

Then use MMAudio to add sound

I made it automated in my Wan 2.1 app but can be made with ComfyUI easily as well . I can extend as many as times i want :)

Here initial video

Prompt: Close-up shot of a Roman gladiator, wearing a leather loincloth and armored gloves, standing confidently with a determined expression, holding a sword and shield. The lighting highlights his muscular build and the textures of his worn armor.

Negative Prompt: Overexposure, static, blurred details, subtitles, paintings, pictures, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, mutilated, redundant fingers, poorly painted hands, poorly painted faces, deformed, disfigured, deformed limbs, fused fingers, cluttered background, three legs, a lot of people in the background, upside down

Used Model: WAN 2.1 14B Text-to-Video

Number of Inference Steps: 20

CFG Scale: 6

Sigma Shift: 10

Seed: 224866642

Number of Frames: 81

Denoising Strength: N/A

LoRA Model: None

TeaCache Enabled: True

TeaCache L1 Threshold: 0.15

TeaCache Model ID: Wan2.1-T2V-14B

Precision: BF16

Auto Crop: Enabled

Final Resolution: 1280x720

Generation Duration: 770.66 seconds




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James Hunter Carter
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Furkan Gözükara
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AtAndDev
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