neg_image = image_add_noise(image, noise) if noise > 0 else None if self.is_plus: @@ -674,52 +789,92 @@ def apply_ipadapter(self, ipadapter, model, weight, clip_vision=None, image=None image_prompt_embeds = image_prompt_embeds.to(self.device, dtype=self.dtype) uncond_image_pr...
Test image Original lineart output Original lineart output w/ post-processing applied to show the noise New thresholded lineart output New thresholded lineart output w/ same post-processing, note lack of noise Merge Plan n/a Checklist
# 需要导入模块: from keras.models import Sequential [as 别名]# 或者: from keras.models.Sequential importadd[as 别名]defdefine_model(lr, momentum):# CONFIGmodel = Sequential()# Create Layers# CONVNETlayers = []#layers.append(GaussianNoise(0.02))layers.append(Convolution2D(8,9,9, activation ...
add_argument('--noise_level', default=0.5, type=float)16parser.add_argument('--noise_training_level', default=0.15, type=float)17parser.add_argument('--batch_size', default=36, type=int) # mini batch size18parser.add_argument('--test_id', default=222, type=int) # 1000+ means ...
master_plot.show()# add a noisy imagea, b = numpy.meshgrid(numpy.linspace(-10,10,500), numpy.linspace(-10,5,400), indexing="ij") myimg = numpy.asarray(numpy.sin(a * b) / (a * b), dtype='float32') myimg = add_relative_noise(myimg, ...
图像| Image Image/Exif Image/GraphicsMagick Image/ImageMagick Imagick (class) Imagick::adaptiveBlurImage Imagick::adaptiveResizeImage Imagick::adaptiveSharpenImage Imagick::adaptiveThresholdImage Imagick::addImage Imagick::addNoiseImage Imagick::affineTransformImage Imagick::animateImages Imagick::annotateImage ...
4 image_size: 128 init_model: None input_style: A label_nc: 36 load_height: 128 load_width: 128 model_net: CGAN n_layers: 5 n_samples: 16 net_G: resnet_9block ngf: 64 no_instance: False noise_size: 100 norm_type: batch_norm output: ./infer_result selected_attrs: Bald,Bangs...
groundtruth (A) to noise (z) then generate (A')usingVAEencoder=vae.get_layer('vae_encoder')decoder=vae.get_layer('vae_decoder')z=encoder(a)ap=decoder(z)# ap isthe(A')which is short formofAprediction(ap)#A' -> B'convertA' to synthesized image (B')via image-to-image translation...
For example, an image namedredeyewas uploaded to Cloudinary. A cropped 300x80 thumbnail of the photo centered on the eyes only for illustration is displayed below: URL Node.js React Vue.js Angular JS Python PHP Java Ruby .NET Dart
ObservationNoise ParameterSpec Overview CategoricalValueSpec ConditionalParameterSpec Overview CategoricalValueCondition DiscreteValueCondition IntValueCondition DiscreteValueSpec DoubleValueSpec IntegerValueSpec ScaleType StudyStoppingConfig StudyTimeConstraint SuggestTrialsMetadata SuggestTrialsR...