Abstract Nightmare…

Colorful surreal artwork featuring two side-facing human profiles with textured shapes and objects.

Artist
Twilights...
Prompt
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DDG Model
Artistic
Access
Public
Created
1yr ago
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- Info
  Abstract Nightmare…
  
  Model: Artistic
  
  Size: 1173 X 1790 (2.10 MP)
  
  Used settings:
  
  Prompt: Surreal transformation class DeepDream(tf.Module): def __init__(self, model): self.model = model @tf.function( input_signature=( tf.TensorSpec(shape=[None,None,3], dtype=tf.float32), tf.TensorSpec(shape=[], dtype=tf.int32), tf.TensorSpec(shape=[], dtype=tf.float32),) ) def __call__(self, img, steps, step_size): print("Tracing") loss = tf.constant(0.0) for n in tf.range(steps): with tf.GradientTape() as tape: # This needs gradients relative to `img` # `GradientTape` only watches `tf.Variable`s by default tape.watch(img) loss = calc_loss(img, self.model) # Calculate the gradient of the loss with respect to the pixels of the input image. gradients = tape.gradient(loss, img) # Normalize the gradients. gradients /= tf.math.reduce_std(gradients) + 1e-8 # In gradient ascent, the "loss" is maximized so that the input image increasingly "excites" the layers. # You can update the image by directly adding the gradients (because they're the same shape!) style by dPwOrKs2
  
  Face enhance: No
  
  Upscale & Enhance: 2
  
  Aspect Ratio: landscape
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Prompt: Surreal transformation class DeepDream(tf.Module): def __init__(self, model): self.model = model @tf.function( input_signature=( tf.TensorSpec(shape=[None,None,3], dtype=tf.float32), tf.TensorSpec(shape=[], dtype=tf.int32), tf.TensorSpec(shape=[], dtype=tf.float32),) ) def __call__(self, img, steps, step_size): print("Tracing") loss = tf.constant(0.0) for n in tf.range(steps): with tf.GradientTape() as tape: # This needs gradients relative to `img` # `GradientTape` only watches `tf.Variable`s by default tape.watch(img) loss = calc_loss(img, self.model) # Calculate the gradient of the loss with respect to the pixels of the input image. gradients = tape.gradient(loss, img) # Normalize the gradients. gradients /= tf.math.reduce_std(gradients) + 1e-8 # In gradient ascent, the "loss" is maximized so that the input image increasingly "excites" the layers. # You can update the image by directly adding the gradients (because they're the same shape!) style by dPwOrKs2

Modifiers:

digital painting fantasy 8k poster award winning ultra detailed high definition crisp quality Unreal Engine hdr light reflections Golden ratio cel-shaded DPwOrKs2 art of Illusion; Abstract Surrealism

More about Abstract Nightmare…

Lost between the lines of reality and an abstract nightmare had wished they could’ve awoken but when you’re stuck in a deep dream there isn’t time, just a continuous moment. DPwOrKs2 group

Quote: Strange, I thought, how you can be living your dreams and your nightmares at the very same time. by Ransom Riggs