Fis full message like this
Mno not at all
Monly what i showed you
Fok that is the problem
Fcan you shut down your instance
Fand start again?
Mokay i see
Mhow do i shut down the instance?
F
Fhere
Mthanks
Mdone
Mthen i reconnect?
Fyep
Myess it worked
Fhave you done training part?
Myes training has been done before
Fgreat
Fnow you can inference
Mdo i need to redo it?
Fnope
Fyou saved in google drive right
Myes
Fok it should work
Msame error popped up again
MName error, Name "scheduler" is not defined
Fgive me 1 sec to try me again
Fi will post each action screenshots
Mtake your time
Mthank you very much for your help
Fyou are welcome
Frunning now
Ffirst 2
F
Msame
Fthird
Msame
Fstep 4
Fstep 5 the path could be different for you
Fstep 6 i got the preview
Msame so far and i get the preview
Fok now i am running final part
Fimport torch
from torch import autocast
from diffusers import StableDiffusionPipeline, DDIMScheduler
from IPython.display import display
model_path = WEIGHTS_DIR # If you want to use previously trained model saved in gdrive, replace this with the full path of model in gdrive
scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False, set_alpha_to_one=False)
pipe = StableDiffusionPipeline.from_pretrained(model_path, scheduler=scheduler, safety_checker=None, torch_dtype=torch.float16).to("cuda")
g_cuda = None
from torch import autocast
from diffusers import StableDiffusionPipeline, DDIMScheduler
from IPython.display import display
model_path = WEIGHTS_DIR # If you want to use previously trained model saved in gdrive, replace this with the full path of model in gdrive
scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False, set_alpha_to_one=False)
pipe = StableDiffusionPipeline.from_pretrained(model_path, scheduler=scheduler, safety_checker=None, torch_dtype=torch.float16).to("cuda")
g_cuda = None
Fno errro green check mark
Fcan you check your python version
Fclick this
MOhh this could be the issue
F
Frun this
F!python
