Fye doing final tests
Fas it does more steps it will become faster
F
Jsame quality 
Fyes i am testing 0.15 now
F0.1 didnt speed that much
FGitHub
Teacache v2
I am open to contributions suggestions
left original right is teacache
output.mp4
Prompt: super fast car going on a high way
Negative Prompt: still ...
I am open to contributions suggestions
left original right is teacache
output.mp4
Prompt: super fast car going on a high way
Negative Prompt: still ...
F0.15
Fthis really did speed up
Jnot bad at all
F704 to 490 second
Ftesting 0.2
Fthere is certainly some quality loss though
Fwow 0.2
F0.2 : Generation Duration: 315.25
F0.2 increased duration to 315/705
Jnot good
Fi agree
Fi think we can set as 0.15
Ftesting 720p model
Fi also need to update models to single files
Fthey will be used for training
JDon't know if any of you guys also run into this? https://discord.com/channels/1243166023859961988/1349721178700386364
XI pressed start after editing this part of "Hugging_Face_Upload_Download_V12.ipynb" inside of runpod
XAND GETING THIS ERROR
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
X@Dr. Furkan Gözükara do i need to upload "workspace/trained_models/config_dreambooth-20250311-230222.toml" into my model file in swarm_ui also?
JI'm not at home. I'll test teacache on wan 2.1 when I get home
Xokay finally uploaded my .safetensors to huging face and genrated frist wan 480p video :))))
XXTrying 720pn now image to video
Xgetting an error because of 99% mem utilization.
Flooks amazing
TRequired a clean install for me, but its definitely working. Very nice speed increase.
TThe speedup for later iterations is phenomenal. Makes increasing step on the generations more attractive.
TKLING 1.6 Pro mode now generates 5s@30fps img2vid in 60 seconds.
How fast is this model, insane compared to WAN 2.1
How fast is this model, insane compared to WAN 2.1
Teven assuming they use h200's on backend
Xgetting this error trying to run 720p image to video
Xthis is the pod im runing it in
Xis multi-gpu supported for wan on runpod?
JAnyone has a robust workflow/settings to fix fingers and toes?
When I try editing/masking or upscaling it may make things slightly better, but doesn't consistently make a big difference.
Take this image for example. Anyone who could tell me how they'd fix the toes?
When I try editing/masking or upscaling it may make things slightly better, but doesn't consistently make a big difference.
Take this image for example. Anyone who could tell me how they'd fix the toes?
JThe best I could do is this, but toes are still not great, and it took way too long time
Jthe key here was using "Init image" with 0 creativity and the prompt was just "<segment:feet,0.9,0.3>feet".
But yea not the best and don't have any control over the mask.
Manually masking and prompting gave worse results for me
But yea not the best and don't have any control over the mask.
Manually masking and prompting gave worse results for me
JI tried the Flux fill model as well but didn't get better results than my own fine-tuned model
Twith fingers - you just have to get lucky, or inpaint img2img.
Toes - simply doesn't work with flux so just avoid them
Toes - simply doesn't work with flux so just avoid them
Jah shit okay
TIt seems they were purposely censored just as some other anatomy parts during base model training