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chenpangpang
diffusers
Commits
bbf733ab
Unverified
Commit
bbf733ab
authored
Aug 31, 2023
by
Patrick von Platen
Committed by
GitHub
Aug 31, 2023
Browse files
[SDXL Inpaint] Correct strength default (#4858)
parent
aedd7876
Changes
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src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_inpaint.py
...able_diffusion_xl/pipeline_stable_diffusion_xl_inpaint.py
+2
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src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_inpaint.py
View file @
bbf733ab
...
@@ -892,7 +892,7 @@ class StableDiffusionXLInpaintPipeline(DiffusionPipeline, LoraLoaderMixin, FromS
...
@@ -892,7 +892,7 @@ class StableDiffusionXLInpaintPipeline(DiffusionPipeline, LoraLoaderMixin, FromS
mask_image
:
PipelineImageInput
=
None
,
mask_image
:
PipelineImageInput
=
None
,
height
:
Optional
[
int
]
=
None
,
height
:
Optional
[
int
]
=
None
,
width
:
Optional
[
int
]
=
None
,
width
:
Optional
[
int
]
=
None
,
strength
:
float
=
1.0
,
strength
:
float
=
0.9999
,
num_inference_steps
:
int
=
50
,
num_inference_steps
:
int
=
50
,
denoising_start
:
Optional
[
float
]
=
None
,
denoising_start
:
Optional
[
float
]
=
None
,
denoising_end
:
Optional
[
float
]
=
None
,
denoising_end
:
Optional
[
float
]
=
None
,
...
@@ -944,7 +944,7 @@ class StableDiffusionXLInpaintPipeline(DiffusionPipeline, LoraLoaderMixin, FromS
...
@@ -944,7 +944,7 @@ class StableDiffusionXLInpaintPipeline(DiffusionPipeline, LoraLoaderMixin, FromS
The height in pixels of the generated image.
The height in pixels of the generated image.
width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
The width in pixels of the generated image.
The width in pixels of the generated image.
strength (`float`, *optional*, defaults to
1.
):
strength (`float`, *optional*, defaults to
0.9999
):
Conceptually, indicates how much to transform the masked portion of the reference `image`. Must be
Conceptually, indicates how much to transform the masked portion of the reference `image`. Must be
between 0 and 1. `image` will be used as a starting point, adding more noise to it the larger the
between 0 and 1. `image` will be used as a starting point, adding more noise to it the larger the
`strength`. The number of denoising steps depends on the amount of noise initially added. When
`strength`. The number of denoising steps depends on the amount of noise initially added. When
...
...
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