Is there a way to put safety checker in sdxl model
Is there a way to put safety checker in sdxl model
F
SHad used this model but throwing an error saying sdxlpipelineoutput has no NSFW checker
Fcon can't pass safety_checker to the pipeline?
Fsafety_checker=StableDiffusionSafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker"),S{"detail":"Error generating image: 'StableDiffusionXLPipelineOutput' object has no attribute 'nsfw_content_detected'"}
Fyou use the
StableDiffusionSafetyChecker pipelineFnot
StableDiffusionXLPipelineSfrom diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
yeah using but still throwing
yeah using but still throwing
Dits a very simple app, you just login in both devices, then click network devices > my devices > then select the device you want the IP address for, it will auto lock the IP to the devices as long as you dont delete the app. then just put the IP:port in the URL. Sorry for all the masking 
. its way safer than using Gradio live, as this IP cant be accessed unless you are logged in on both devices @Dr. Furkan Gözükara i think this can help other users as well.
. its way safer than using Gradio live, as this IP cant be accessed unless you are logged in on both devices @Dr. Furkan Gözükara i think this can help other users as well.
Fi don't know then, but you can apply a safety checker after image has been generated (or to the latents, before VAE decoding)
RCool. Might give it a try
VMy whole Instagram feed is now filled with EMO demo...by Alibaba
RUnless that gradio gets fixed soon @Dr. Furkan Gözükara
RActually is that good mostly for video? Not stills?
DThe break feature allows you to start a new 75 tokens , it doesn’t give you another prompt with the same weight
VIt creates video from a single photo..see it's demo..it's damm good....better than any deepfake roop reactor ....
RDoes it maintain fonsistency even as head turns a bit?
VIt does everything dude.
. expressions, eye movement,mouth movements, micro expressions.. everything
. expressions, eye movement,mouth movements, micro expressions.. everything
RThat’s amazing 
Awhats the minimum vram useage for supir dr?
T12 GB
TI was talking about @Dr. Furkan Gözükara’s optimizations, or this public post : https://www.reddit.com/r/StableDiffusion/s/aK1PDlYVHP
Reddit
Explore this post and more from the StableDiffusion community
VCan someone make it more efficient.... I only have 8GB vram..but I do have 64gb RAM....
Awhere is the optimizations that reduces vram useage on there? is it the --use_tile_vae?
TLoading half params + tile vae + no llava
TNVidia card ?
VYes rtx 3070ti
VAmd right now is super shit . Nvidia is much more easy and convenient for AI purpose..
TAnd you have error message ? By default I think when vram is full it uses sysram
VI haven't tried it yet .
VAs it said it needed minimum of 12gb vram
TTry and tell us 
TSame problem here! Any ideas to solve it yet?
PTrying to laucn SUPIr and getting RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory
K@Dr. Furkan Gözükara what exactly does the weight_decay=0.01 do?
Kstill getting that accelerate not founod error
Kanyone else have that issue in setting up dreambooth?
K(locally)
Poww haha but you have how much for RAM? you shared gpu
K@Dr. Furkan Gözükara is it possible for supir batch, to run both stage one and stage 2, batch only uses stage 2 at the moment.
AAnyone experimenting with comfyui and supir?
PAnyone here have a specific sdxl model or lora recommendation for making good hands?
Fsorry guys i will check messages now
Fsure i will add this hopefully today
Fstarting to work now
Ahttps://github.com/layerdiffusion/sd-forge-layerdiffusion.git how do you install this? creates transparent backgrounds
RFhas anyone solved how SUPIR upscale works? in terms of output resolution?
Ffor example if i give 1024x1024 and upscale 1x i get 1024x1024 output
then i give 512x512 and do 1x upscale and i get output 1024x1024
then i give 256x256 and do 1x upscale and i get output 1024x1024
then i give 512x512 and do 1x upscale and i get output 1024x1024
then i give 256x256 and do 1x upscale and i get output 1024x1024