https://instances.vantage.sh/aws/ec2/g5.xlarge
The g5.xlarge instance is in the gpu instance family with 4 vCPUs, 16.0 GiB of memory and up to 10 Gibps of bandwidth starting at $1.006 per hour.
WMy speed is about 6.5s/it
NI don’t really get it so what should I put in the fields? https://media.discordapp.net/attachments/1194438792396931174/1311703395975041074/image.png?ex=674b23fb&is=6749d27b&hm=a0a3f699f62d559dc707d0f32885528688c8be7ff59f868dbda6cf6540e28a4b&
R@Furkan Gözükara SECourses do you have intrsutions on how to install the required software on ubuntu
Flike 5x expensive
Fput 10 and 10
Fnope but you can look my scripts
Fanalyze them
Ryeah but they are aculty avaiable and you can keep your fgfiles without being charged
Fwhat do you mean
Ri find that massedcompute gpu instances are often unavaiable
Ftrue
Fyou can use runpod meanwhile
Fbut massed compute will increase hopefully soon
Falso i am talking with another provider
Rgcp seems to have some good options as well. easy to setup
Rdigital ocean has high end serve as well but it is overkill
RH100
Fye
Rcurrentl 3.50/gpu/hr
Fso expensive
Rthe gpu costs like 20k
�the kaggle, how can I remove anything from the temp folder...I only see the working folder.
Fyou cant see but it is there
F!rm -r folder path
�ah yes, I tried downloading juggernaut11, first from huggingface, didn't get it to work, used api token and all, but from civitai it worked with wget, but forget the end part with -O "filename.safetensors", so model wasn't found in supir. the filename became the download link............haha
F
Gis it possible to convert a fine tuned flux dev model into a lora?
Dyou can extract a lora
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
�Say i have char1.safetensors and char2.safetensors, both fine tuned flux dev character checkpoints. What will be the result of a merge, will it be some kind of average of the two looks? i.e. if char1 has blue hair and char2 has red, the merge will have purple hair or?
Fthey will bleed / mixed
�will be images look normal, or will we see monstrous looking body parts etc 
Flook normal but mixed like i have in this experiments
like i have in this experimentsFMedium
Thoroughly experimented with Fine-Tuning / DreamBooth training of Flux-dev-de-distill, PixelWave v03, Verus Vision and base FLUX Dev model…
�haha, ok, worth a try then, thank you Dr. 
�ah, you've done it!
Fthis was not merge but expect similar results
�Say I have a character with a certain tattoo on left arm, would a a few close ups of only the arm with the tattoo help the fine tuned model in generating the tattoo more correctly? Ofc most images will be full-body or half-body portraits, but would 2-4 close-up pics of the tattoo help? you only see the arm and the tattoo, on the other pics you also see the tattoo, but it will be less detailed. Anyone have experience doing this?
Fi didnt try tthis
�Well it applies to faces, why wouldn't it apply to other body parts too, as long as you see it on both full body and close up pic. Could improve a lot of things maybe. If it works 
�when making the grid, does this automatically reduce the quality or number of pics in the images? there's this option "RAW resolution" under "Swarm internal", to override grid. I don't fully understand this.
Fi think doesnt reduce
�say you have character checkpoint, you want to change the body type into muscular, so you make a lora using pics of Arnold Scharzenegger. How would you make the lora affect on the body of your character, and not affect the face? I was thinking <segment:body...> <lora:arnoldbody:0.9> ohwxarnold body, but I really am confused about the order, because if you do segment body at the end, you would really need high denoise to drastically change it into muscular. So unsufre how to proceed. Ideally you don't need to apply segment, just the lora being smartly trained so it doesn't change your face, or at least very little.
Fi dont think would work at all
Y@Furkan Gözükara SECourses Hi before I press 'start training' in kohya, I jsut want to ask again, unet learning rate really that low at flux??? and no TE? haha
Ythis is 48GB_GPU_28200MB_6.3_second_it_Tier_1
Y
Fyes they are very intensively researched
Fi even shared higher lower LRs on research patreon post