Yes, it's great gg, on your 5090, how much VRAM do you use during process basically ?

OOmegaBrain Yes, it's great gg, on your 5090, how much VRAM do you use during process basica...

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Furkan Gözükara SECourses•3/15/25, 10:52 AM

well i need to restart pc and test

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Furkan Gözükara SECourses•3/15/25, 10:53 AM

currently without wan app i am using 5 gb

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Furkan Gözükara SECourses•3/15/25, 10:53 AM

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OmegaBrainOP•3/15/25, 10:58 AM

okay, 5 Gb without wan seems pretty high! I got 1.4 Gb without

OOmegaBrain okay, 5 Gb without wan seems pretty high! I got 1.4 Gb without 😄

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Furkan Gözükara SECourses•3/15/25, 10:59 AM

yes. i try to set presets with thinking as 2gb free :d

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Furkan Gözükara SECourses•3/15/25, 10:59 AM

i need to restart pc lots of apps running :d

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OmegaBrainOP•3/15/25, 10:59 AM

would be perfect

FFurkan Gözükara SECourses i need to restart pc lots of apps running :d

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OmegaBrainOP•3/15/25, 10:59 AM

yeah haha

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julius•3/15/25, 12:39 PM

@Dr. Furkan Gözükara Hey have you tested flux 1.1 pro? Any reason we are fine-tuning on flux 1 dev still?

Jjulius @Dr. Furkan Gözükara Hey have you tested flux 1.1 pro? Any reason we are fine-tu...

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julius•3/15/25, 12:42 PM

Just copying furkans answer in here from another channel for everybody else

Jjulius Just copying furkans answer in here from another channel for everybody else 🙂

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Furkan Gözükara SECourses•3/15/25, 12:45 PM

thanks

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AiInfluence•3/15/25, 1:05 PM

Anyone tried Google's Gemini flash 2.0?

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daroth•3/15/25, 1:18 PM

saw some posts about it on reddit, would've been good - one year ago

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julius•3/15/25, 1:35 PM

@Dr. Furkan Gözükara For fine-tuning flux with kohya, do you recommend using the models from OwlMaster/FLUX_LoRA_Train (https://huggingface.co/OwlMaster/FLUX_LoRA_Train/tree/main) or do you recommend the models from your unified downloader (ae from black-forest-labs/FLUX.1-schnell, t5xxl from OwlMaster/SD3New, clip_l from OwlMaster/zer0int-CLIP-SAE-ViT-L-14) ?

AAiInfluence Anyone tried Google's Gemini flash 2.0?

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Furkan Gözükara SECourses•3/15/25, 1:39 PM

i am using but not for image :d

Jjulius @Dr. Furkan Gözükara For fine-tuning flux with kohya, do you recommend using the...

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Furkan Gözükara SECourses•3/15/25, 1:39 PM

i recommend zer0int-CLIP-SAE-ViT-L-14 as clip

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Furkan Gözükara SECourses•3/15/25, 1:39 PM

the rest are same

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Furkan Gözükara SECourses•3/15/25, 1:39 PM

also i recommed use flux1-dev.safetensors

FFurkan Gözükara SECourses i am using but not for image :d

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AiInfluence•3/15/25, 1:40 PM

for what ?

AAiInfluence for what ?

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Furkan Gözükara SECourses•3/15/25, 1:40 PM

for other tasks like coding

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Furkan Gözükara SECourses•3/15/25, 1:40 PM

i use thinking model

FFurkan Gözükara SECourses for other tasks like coding

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AiInfluence•3/15/25, 1:40 PM

any news on TeaCache for wan?

AAiInfluence any news on TeaCache for wan?

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Furkan Gözükara SECourses•3/15/25, 1:41 PM

i published already

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Furkan Gözükara SECourses•3/15/25, 1:41 PM

you should follow notifications on patreon

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AiInfluence•3/15/25, 1:41 PM

omg how did I miss

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Furkan Gözükara SECourses•3/15/25, 1:41 PM

v33 https://www.patreon.com/posts/123105403

Patreon

Wan 2.1 Ultra Advanced Gradio APP for - Works as low as 4GB VRAM - ...

Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon

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AiInfluence•3/15/25, 1:41 PM

Do we have timings bench o can look?

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Furkan Gözükara SECourses•3/15/25, 1:41 PM

https://www.reddit.com/r/SECourses/comments/1jbi0wt/secourses_v32_wan_21_app_huge_speed_improvement/

From the SECourses community on Reddit: SECourses V32 Wan 2.1 App -...

Explore this post and more from the SECourses community

FFurkan Gözükara SECourses https://www.reddit.com/r/SECourses/comments/1jbi0wt/secourses_v32_wan_21_app_hug...

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AiInfluence•3/15/25, 1:43 PM

wow

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AiInfluence•3/15/25, 1:43 PM

from 1 hour to 10min?! insane

AAiInfluence wow

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Furkan Gözükara SECourses•3/15/25, 1:44 PM

no not that much

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Furkan Gözükara SECourses•3/15/25, 1:44 PM

10 min to 6 min

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Furkan Gözükara SECourses•3/15/25, 1:44 PM

pretty good almost no quality loss

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AiInfluence•3/15/25, 1:45 PM

Do you recommend i2v or t2v for a custom character video?

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AiInfluence•3/15/25, 1:45 PM

Which means train a video Lora for wan or with an image model and then do i2v

AAiInfluence Which means train a video Lora for wan or with an image model and then do i2v

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Furkan Gözükara SECourses•3/15/25, 1:50 PM

i havent research training yet so cant tell

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Furkan Gözükara SECourses•3/15/25, 1:50 PM

but image to video working good

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Furkan Gözükara SECourses•3/15/25, 1:52 PM

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Furkan Gözükara SECourses•3/15/25, 1:52 PM

some one requested higher RIFE gonna test it

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Furkan Gözükara SECourses•3/15/25, 1:55 PM

Prompt: A close-up shot of a smiling boy with a joyful expression, sitting comfortably in a cozy room, surrounded by soft toys and books. The boy has curly hair and wears a colorful t-shirt. Bright, warm lighting highlights his happy face. Close-up view.
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: 50
Seed: 420498510
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: 832x480
Generation Duration: 320.97 seconds

Prompt: A close-up shot of a smiling boy with a joyful expression, sitting comfortably in a cozy room, surrounded by soft toys and books. The boy has curly hair and wears a colorful t-shirt. Bright, warm lighting highlights his happy face. Close-up view.
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: 50
Seed: 420498510
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: 832x480
Generation Duration: 320.97 seconds

Prompt: A close-up shot of a smiling boy with a joyful expression, sitting comfortably in a cozy room, surrounded by soft toys and books. The boy has curly hair and wears a colorful t-shirt. Bright, warm lighting highlights his happy face. Close-up view.
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: 50
Seed: 420498510
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: 832x480
Generation Duration: 320.97 seconds

Prompt: A close-up shot of a smiling boy with a joyful expression, sitting comfortably in a cozy room, surrounded by soft toys and books. The boy has curly hair and wears a colorful t-shirt. Bright, warm lighting highlights his happy face. Close-up view.
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: 50
Seed: 420498510
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: 832x480
Generation Duration: 320.97 seconds

FFurkan Gözükara SECourses ```Prompt: A close-up shot of a smiling boy with a joyful expression, sitting co...

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AiInfluence•3/15/25, 1:57 PM

How should we value TeaCache Threshold? Like what are max min values and. what to consider for when adjusting

AAiInfluence How should we value TeaCache Threshold? Like what are max min values and. what t...

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Furkan Gözükara SECourses•3/15/25, 1:57 PM

0.15 is pretty much max i believe. above will make faster

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Furkan Gözükara SECourses•3/15/25, 1:57 PM

but quality may degrade

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