-
Notifications
You must be signed in to change notification settings - Fork 6.5k
Open
Labels
staleIssues that haven't received updatesIssues that haven't received updates
Description
Is your feature request related to a problem? Please describe.
Safety_checker can currently only be turned on/off, and we would like to be able to configure it in more detail.
Describe alternatives you've considered.
I made it based on StableDiffusionPipeline.
Describe the solution you'd like.
I would like to be able to specify this in any pipeline using a parameter such as safety_Level.
pipe = StableDiffusionPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5",
safety_Level="MAX"
).to("cuda")Additional context.
git clone https://github.com/suzukimain/diffusers.git -b edit_safety_checker ./diffusers
pip install ./diffusers
import torch
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5",
).to("cuda")
"""
About safety_Level.
`int` or `float` or one of the following
'WEAK',
'MEDIUM',
'NOMAL',
'STRONG',
'MAX'.
"""
#-------------
#To see the filter strength.
pipe.safety_checker.safety_Level() # 0.0 (default)
#--------------
#If you want to change the intensity.
pipe.safety_checker_Level("STRONG", pipe.safety_checker)
pipe.safety_checker.safety_Level() # 0.1
#--------------
# If numbers are used
pipe.safety_checker_Level(3.0, pipe.safety_checker)
pipe.safety_checker.safety_Level() # 3.0
It is related to #5623.
Also, I wasn't sure what range of numbers to put in for adjustment, so I put -0.2~0.2 for once.
(If possible, I would appreciate it if someone could tell me about the range of adjustment.)
Metadata
Metadata
Assignees
Labels
staleIssues that haven't received updatesIssues that haven't received updates