Fhi if you already trained you can skip that part. please watch this video : https://www.youtube.com/watch?v=kIyqAdd_i10
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Fyou cant do dreambooth but you can do lora in dreambooth extension
Falso you can do textual inversion
Fvery weird. and there is no error message right?
AI’m creating a second model, so I don’t know why the indentation is an issue since I know it works and never changed it
A(I followed your video to a T and I’m not sure where the difference is from the text)
G@Furkan Gözükara SECourses I have 2400 RegularizationImages, what would the class images per instance be?
Fcopy paste that part from the original link it should fix
Fi suggest 50 per instance
Fhow many training you have?
G10
Fok i think still set 50
Fso it will use 500
Gperfect
GFinally before I start training
G
GI am using Lora so I need to best settings for these sliders
Funfortunately i am yet to run experiments for them
Fbut kohya uses 128 and 128
Fi believe
Fanother tips for lower vram. under command line arguments :
G
GI assume the PyTorch_Cuda_Alloc_Config command needs to be added before starting SD and not during XD
Fyes. this is for low vram problem having people
GI am now following your guide to the letter incuding the images. I will train styles later
GThese images that are being sampled do not seem right
GI am expecting images of me or is this not the case?
GThe face and hair looks kinda like me.. Am I being hopfull XD
G
GGI am getting really cool accurate ish looking images
Fgreat
Fi added a spanish subtitle can anyone test it who knows spanish? https://www.youtube.com/watch?v=m-UVVY_syP0
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Fnow translating to french
SI let my embed run all night and it is still a monster! This is tough.
Fcould be overtraining. you are following this video right? https://www.youtube.com/watch?v=dNOpWt-epdQ
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G@Furkan Gözükara SECourses The command you gave does not seem to wrk
Fwhich one
G
G
Galso, with Lora my face does not look close to as good as your images you get to generate. I will now try with normal Dreambooth without Lora and then try the XYZ picking
Fyou need to put set to front
Fdreambooth better than lora
SI could not find an embedding video from you! Hooray I am saved. Thank you!
F
KHi, i'm having issues with setting up xformers with the A5000 GPU in SD Dreambooth
Whenever i click Generate Class Images i'm getting :
Exception generating concepts: No operator found for memory_efficient_attention_forward with inputs: query : shape=(1, 2, 1, 40) (torch.float32) key : shape=(1, 2, 1, 40) (torch.float32) value : shape=(1, 2, 1, 40) (torch.float32) attn_bias : p : 0.0 flshattF is not supported because: xFormers wasn't build with CUDA support dtype=torch.float32 (supported: {torch.bfloat16, torch.float16}) tritonflashattF is not supported because: xFormers wasn't build with CUDA support dtype=torch.float32 (supported: {torch.bfloat16, torch.float16}) triton is not available requires A100 GPU cutlassF is not supported because: xFormers wasn't build with CUDA support smallkF is not supported because: xFormers wasn't build with CUDA support max(query.shape[-1] != value.shape[-1]) > 32 unsupported embed per head: 40
I've set everything based on your youtube tutorial here https://www.youtube.com/watch?v=Bdl-jWR3Ukc&t=158s
Whenever i click Generate Class Images i'm getting :
Exception generating concepts: No operator found for memory_efficient_attention_forward with inputs: query : shape=(1, 2, 1, 40) (torch.float32) key : shape=(1, 2, 1, 40) (torch.float32) value : shape=(1, 2, 1, 40) (torch.float32) attn_bias : p : 0.0 flshattF is not supported because: xFormers wasn't build with CUDA support dtype=torch.float32 (supported: {torch.bfloat16, torch.float16}) tritonflashattF is not supported because: xFormers wasn't build with CUDA support dtype=torch.float32 (supported: {torch.bfloat16, torch.float16}) triton is not available requires A100 GPU cutlassF is not supported because: xFormers wasn't build with CUDA support smallkF is not supported because: xFormers wasn't build with CUDA support max(query.shape[-1] != value.shape[-1]) > 32 unsupported embed per head: 40
I've set everything based on your youtube tutorial here https://www.youtube.com/watch?v=Bdl-jWR3Ukc&t=158s
Fgenerate class images with txt2img
Fmuch faster better
GWith or without the --
Fi think like this can you test?