openvinotoolkit/stable-diffusion-webui
1
1
Fork 0
mirror of https://github.com/openvinotoolkit/stable-diffusion-webui.git synced 2024-12-15 07:03:06 +03:00
Code Issues Packages Projects Releases Wiki Activity

fix(api): assign sd_model after settings change

Browse Source
This commit is contained in:
Philpax 2022-12-25 20:17:49 +11:00
parent c6f347b81f
commit fa931733f6
2 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
modules/api/api.py
View File

@ -121,7 +121,6 @@ class Api:
def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI): def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
populate = txt2imgreq.copy(update={ # Override __init__ params populate = txt2imgreq.copy(update={ # Override __init__ params
"sd_model": shared.sd_model,
"sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index), "sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
"do_not_save_samples": True, "do_not_save_samples": True,
"do_not_save_grid": True "do_not_save_grid": True
@ -153,7 +152,6 @@ class Api:
mask = decode_base64_to_image(mask) mask = decode_base64_to_image(mask)
populate = img2imgreq.copy(update={ # Override __init__ params populate = img2imgreq.copy(update={ # Override __init__ params
"sd_model": shared.sd_model,
"sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index), "sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index),
"do_not_save_samples": True, "do_not_save_samples": True,
"do_not_save_grid": True, "do_not_save_grid": True,

6
modules/processing.py
View File

@ -50,9 +50,9 @@ def apply_color_correction(correction, original_image):
correction, correction,
channel_axis=2 channel_axis=2
), cv2.COLOR_LAB2RGB).astype("uint8")) ), cv2.COLOR_LAB2RGB).astype("uint8"))
image = blendLayers(image, original_image, BlendType.LUMINOSITY) image = blendLayers(image, original_image, BlendType.LUMINOSITY)
return image return image
@ -466,6 +466,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
if k == 'sd_model_checkpoint': sd_models.reload_model_weights() # make onchange call for changing SD model if k == 'sd_model_checkpoint': sd_models.reload_model_weights() # make onchange call for changing SD model
if k == 'sd_vae': sd_vae.reload_vae_weights() # make onchange call for changing VAE if k == 'sd_vae': sd_vae.reload_vae_weights() # make onchange call for changing VAE
# Assign sd_model here to ensure that it reflects the model after any changes
p.sd_model = shared.sd_model
res = process_images_inner(p) res = process_images_inner(p)
finally: finally: