metacritical · July 14, 2023 23:18 · Apr 10, 2023 · Apr 5, 2023 · Apr 5, 2023 · Apr 5, 2023
diff --git a/kandinsky.txt b/kandinsky.txt
@@ -3,6 +3,10 @@
 # repo link : https://github.com/ai-forever/Kandinsky-2
 # used repo commit hash : a4354c04d5fbd48851866ef7d84ec444d3d50102
 
+# those who getting cuda error
+# pip uninstall torch
+# pip3 install torch==1.13.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
+
 import os
 import uuid
 from PIL import Image

diff --git a/kandinsky.txt b/kandinsky.txt
@@ -1,5 +1,7 @@
 # tutorial video link : https://youtu.be/dYt9xJ7dnpU
 # colab link : https://colab.research.google.com/drive/1xSbu-b-EwYd6GdaFPRVgvXBX_mciZ41e?usp=sharing
+# repo link : https://github.com/ai-forever/Kandinsky-2
+# used repo commit hash : a4354c04d5fbd48851866ef7d84ec444d3d50102
 
 import os
 import uuid

diff --git a/kandinsky.txt b/kandinsky.txt
@@ -1,5 +1,5 @@
 # tutorial video link : https://youtu.be/dYt9xJ7dnpU
-
+# colab link : https://colab.research.google.com/drive/1xSbu-b-EwYd6GdaFPRVgvXBX_mciZ41e?usp=sharing
 
 import os
 import uuid

diff --git a/kandinsky.txt b/kandinsky.txt
@@ -1,3 +1,6 @@
+# tutorial video link : https://youtu.be/dYt9xJ7dnpU
+
+
 import os
 import uuid
 from PIL import Image

diff --git a/kandinsky.txt b/kandinsky.txt
@@ -1,33 +1,42 @@
-images = model.generate_text2img(
-    "fantastic dreamlike forest",
-    num_steps=30,
-    batch_size=1,
-    guidance_scale=4,
-    h=768,
-    w=768,
-    sampler='p_sampler', 
-    prior_cf_scale=4,
-    prior_steps="5"
-)
-
 import os
 import uuid
 from PIL import Image
 
-# path to the folder where the images will be saved
-folder_path = 'C:/Kandinsky-2/imgs'
-
-# generate a unique identifier
-guid = uuid.uuid4()
+# Set the number of iterations
+num_iterations = 10
 
-# loop through all images in the list
-for i, image in enumerate(images):
-    # create the file name using the GUID, index, and the image file extension
-    file_name = f"{guid}_{i}.png"
+for iteration in range(num_iterations):
+    print(f"Generating images for iteration {iteration + 1}/{num_iterations}...")
 
-    # display the image
-    display(image)
+    images = model.generate_text2img(
+        "lion, jungle, cartoon, ultra realistic",
+        num_steps=40,
+        batch_size=1,
+        guidance_scale=4,
+        h=768,
+        w=768,
+        sampler='p_sampler', 
+        prior_cf_scale=4,
+        prior_steps="5"
+    )
+
+    # path to the folder where the images will be saved
+    folder_path = 'C:/Kandinsky-2/imgs'
+
+    # generate a unique identifier
+    guid = uuid.uuid4()
+
+    # loop through all images in the list
+    for i, image in enumerate(images):
+        # create the file name using the GUID, index, and the image file extension
+        file_name = f"{guid}_{i}.png"
+
+        # display the image
+        display(image)
+
+        # save the image to the folder with the GUID and index name
+        file_path = os.path.join(folder_path, file_name)
+        image.save(file_path)
 
-    # save the image to the folder with the GUID and index name
-    file_path = os.path.join(folder_path, file_name)
-    image.save(file_path)
+    remaining_iterations = num_iterations - (iteration + 1)
+    print(f"Completed iteration {iteration + 1}/{num_iterations}. {remaining_iterations} iteration(s) remaining.")
diff --git a/kandinsky.txt b/kandinsky.txt
@@ -1,16 +1,33 @@
-display(images[0])
+images = model.generate_text2img(
+    "fantastic dreamlike forest",
+    num_steps=30,
+    batch_size=1,
+    guidance_scale=4,
+    h=768,
+    w=768,
+    sampler='p_sampler', 
+    prior_cf_scale=4,
+    prior_steps="5"
+)
+
 import os
 import uuid
 from PIL import Image
 
-# path to the folder where the image will be saved
+# path to the folder where the images will be saved
 folder_path = 'C:/Kandinsky-2/imgs'
 
 # generate a unique identifier
 guid = uuid.uuid4()
 
-# create the file name using the GUID and the image file extension
-file_name = str(guid) + '.png'
-
-# save the image to the folder with the GUID name
-images[0].save(os.path.join(folder_path, file_name))
+# loop through all images in the list
+for i, image in enumerate(images):
+    # create the file name using the GUID, index, and the image file extension
+    file_name = f"{guid}_{i}.png"
+
+    # display the image
+    display(image)
+
+    # save the image to the folder with the GUID and index name
+    file_path = os.path.join(folder_path, file_name)
+    image.save(file_path)
diff --git a/kandinsky.txt b/kandinsky.txt
@@ -0,0 +1,16 @@
+display(images[0])
+import os
+import uuid
+from PIL import Image
+
+# path to the folder where the image will be saved
+folder_path = 'C:/Kandinsky-2/imgs'
+
+# generate a unique identifier
+guid = uuid.uuid4()
+
+# create the file name using the GUID and the image file extension
+file_name = str(guid) + '.png'
+
+# save the image to the folder with the GUID name
+images[0].save(os.path.join(folder_path, file_name))