diff --git a/docs/notebooks/234-encodec-audio-compression-with-output.rst b/docs/notebooks/234-encodec-audio-compression-with-output.rst
index 7e98b009f940ba..cd05bd7302413b 100644
--- a/docs/notebooks/234-encodec-audio-compression-with-output.rst
+++ b/docs/notebooks/234-encodec-audio-compression-with-output.rst
@@ -587,7 +587,7 @@ like with the original PyTorch models.
-.. raw:: html
+.. .. raw:: html
-
+..
diff --git a/docs/notebooks/236-stable-diffusion-v2-infinite-zoom-with-output.rst b/docs/notebooks/236-stable-diffusion-v2-infinite-zoom-with-output.rst
index 75656ed47aa094..7e2ec9efacc6bf 100644
--- a/docs/notebooks/236-stable-diffusion-v2-infinite-zoom-with-output.rst
+++ b/docs/notebooks/236-stable-diffusion-v2-infinite-zoom-with-output.rst
@@ -1388,7 +1388,7 @@ Run Infinite Zoom video generation `⇑ <#top>`__
-.. raw:: html
+.. .. raw:: html
-
+..
diff --git a/docs/notebooks/236-stable-diffusion-v2-text-to-image-with-output.rst b/docs/notebooks/236-stable-diffusion-v2-text-to-image-with-output.rst
index 33a4df82bfdbfc..885e8893389a01 100644
--- a/docs/notebooks/236-stable-diffusion-v2-text-to-image-with-output.rst
+++ b/docs/notebooks/236-stable-diffusion-v2-text-to-image-with-output.rst
@@ -1024,7 +1024,7 @@ seed for latent state initialization and number of steps.
-.. raw:: html
+.. .. raw:: html
-
+..
diff --git a/docs/notebooks/237-segment-anything-with-output.rst b/docs/notebooks/237-segment-anything-with-output.rst
index 2db34401ec919d..ecf2d8c0373bcb 100644
--- a/docs/notebooks/237-segment-anything-with-output.rst
+++ b/docs/notebooks/237-segment-anything-with-output.rst
@@ -937,9 +937,9 @@ point.
-.. raw:: html
+.. .. raw:: html
-
+..
Run OpenVINO model in automatic mask generation mode `⇑ <#top>`__
diff --git a/docs/notebooks/240-dolly-2-instruction-following-with-output.rst b/docs/notebooks/240-dolly-2-instruction-following-with-output.rst
index 9b450eb9902ce5..7dda0634e62c7a 100644
--- a/docs/notebooks/240-dolly-2-instruction-following-with-output.rst
+++ b/docs/notebooks/240-dolly-2-instruction-following-with-output.rst
@@ -693,7 +693,7 @@ generation parameters:
-.. raw:: html
+.. .. raw:: html
-
+..
diff --git a/docs/notebooks/241-riffusion-text-to-music-with-output.rst b/docs/notebooks/241-riffusion-text-to-music-with-output.rst
index d8eb9cb1462095..121ec4aa61f53b 100644
--- a/docs/notebooks/241-riffusion-text-to-music-with-output.rst
+++ b/docs/notebooks/241-riffusion-text-to-music-with-output.rst
@@ -751,7 +751,7 @@ Interactive demo `⇑ <#top>`__
-.. raw:: html
+.. .. raw:: html
-
+..
diff --git a/docs/notebooks/242-freevc-voice-conversion-with-output.rst b/docs/notebooks/242-freevc-voice-conversion-with-output.rst
index 0a372bf31c85b7..3e8ac5bdaaff0d 100644
--- a/docs/notebooks/242-freevc-voice-conversion-with-output.rst
+++ b/docs/notebooks/242-freevc-voice-conversion-with-output.rst
@@ -800,9 +800,9 @@ inference. Use rate corresponding to the value of
-.. raw:: html
+.. .. raw:: html
-
+..
.. code:: ipython3
diff --git a/docs/notebooks/244-named-entity-recognition-with-output.rst b/docs/notebooks/244-named-entity-recognition-with-output.rst
index dd6af58fd7bc13..9d49188f04a6f7 100644
--- a/docs/notebooks/244-named-entity-recognition-with-output.rst
+++ b/docs/notebooks/244-named-entity-recognition-with-output.rst
@@ -439,9 +439,9 @@ text.
-.. raw:: html
+.. .. raw:: html
-
+..
.. parsed-literal::
diff --git a/docs/notebooks/248-stable-diffusion-xl-with-output.rst b/docs/notebooks/248-stable-diffusion-xl-with-output.rst
index 594fb4f1a7b6e7..0c0451bd8aaee4 100644
--- a/docs/notebooks/248-stable-diffusion-xl-with-output.rst
+++ b/docs/notebooks/248-stable-diffusion-xl-with-output.rst
@@ -292,9 +292,9 @@ Text2image Generation Interactive Demo\ `⇑ <#top>`__
-.. raw:: html
+.. .. raw:: html
-
+..
.. code:: ipython3
@@ -445,9 +445,9 @@ Image2Image Generation Interactive Demo\ `⇑ <#top>`__
-.. raw:: html
+.. .. raw:: html
-
+..
.. code:: ipython3
diff --git a/docs/notebooks/251-tiny-sd-image-generation-with-output.rst b/docs/notebooks/251-tiny-sd-image-generation-with-output.rst
index b2afd5f5c58864..466cb5801d5a35 100644
--- a/docs/notebooks/251-tiny-sd-image-generation-with-output.rst
+++ b/docs/notebooks/251-tiny-sd-image-generation-with-output.rst
@@ -1056,83 +1056,83 @@ found in this
.. image:: 251-tiny-sd-image-generation-with-output_files/251-tiny-sd-image-generation_39_1.png
-Interactive Demo `⇑ <#top>`__
-###############################################################################################################################
-
-.. code:: ipython3
-
- import gradio as gr
-
- sample_img_url = "https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/tower.jpg"
-
- img = load_image(sample_img_url).save("tower.jpg")
-
- def generate_from_text(text, negative_text, seed, num_steps, _=gr.Progress(track_tqdm=True)):
- result = ov_pipe(text, negative_prompt=negative_text, num_inference_steps=num_steps, seed=seed)
- return result["sample"][0]
-
-
- def generate_from_image(img, text, negative_text, seed, num_steps, strength, _=gr.Progress(track_tqdm=True)):
- result = ov_pipe(text, img, negative_prompt=negative_text, num_inference_steps=num_steps, seed=seed, strength=strength)
- return result["sample"][0]
-
-
- with gr.Blocks() as demo:
- with gr.Tab("Text-to-Image generation"):
- with gr.Row():
- with gr.Column():
- text_input = gr.Textbox(lines=3, label="Positive prompt")
- negative_text_input = gr.Textbox(lines=3, label="Negative prompt")
- seed_input = gr.Slider(0, 10000000, value=751, label="Seed")
- steps_input = gr.Slider(1, 50, value=20, step=1, label="Steps")
- out = gr.Image(label="Result", type="pil")
- sample_text = "futuristic synthwave city, retro sunset, crystals, spires, volumetric lighting, studio Ghibli style, rendered in unreal engine with clean details"
- sample_text2 = "RAW studio photo of tiny cute happy cat in a yellow raincoat in the woods, rain, a character portrait, soft lighting, high resolution, photo realistic, extremely detailed"
- negative_sample_text = ""
- negative_sample_text2 = "bad anatomy, blurry, noisy, jpeg artifacts, low quality, geometry, mutation, disgusting. ugly"
- btn = gr.Button()
- btn.click(generate_from_text, [text_input, negative_text_input, seed_input, steps_input], out)
- gr.Examples([[sample_text, negative_sample_text, 42, 20], [sample_text2, negative_sample_text2, 1561, 25]], [text_input, negative_text_input, seed_input, steps_input])
- with gr.Tab("Image-to-Image generation"):
- with gr.Row():
- with gr.Column():
- i2i_input = gr.Image(label="Image", type="pil")
- i2i_text_input = gr.Textbox(lines=3, label="Text")
- i2i_negative_text_input = gr.Textbox(lines=3, label="Negative prompt")
- i2i_seed_input = gr.Slider(0, 10000000, value=42, label="Seed")
- i2i_steps_input = gr.Slider(1, 50, value=10, step=1, label="Steps")
- strength_input = gr.Slider(0, 1, value=0.5, label="Strength")
- i2i_out = gr.Image(label="Result", type="pil")
- i2i_btn = gr.Button()
- sample_i2i_text = "amazing watercolor painting"
- i2i_btn.click(
- generate_from_image,
- [i2i_input, i2i_text_input, i2i_negative_text_input, i2i_seed_input, i2i_steps_input, strength_input],
- i2i_out,
- )
- gr.Examples(
- [["tower.jpg", sample_i2i_text, "", 6400023, 40, 0.3]],
- [i2i_input, i2i_text_input, i2i_negative_text_input, i2i_seed_input, i2i_steps_input, strength_input],
- )
-
- try:
- demo.queue().launch(debug=True)
- except Exception:
- demo.queue().launch(share=True, debug=True)
- # if you are launching remotely, specify server_name and server_port
- # demo.launch(server_name='your server name', server_port='server port in int')
- # Read more in the docs: https://gradio.app/docs/
-
-
-.. parsed-literal::
-
- Running on local URL: http://127.0.0.1:7860
-
- To create a public link, set `share=True` in `launch()`.
-
-
-
-.. raw:: html
-
-
+.. Interactive Demo `⇑ <#top>`__
+.. ###############################################################################################################################
+
+.. .. code:: ipython3
+
+.. import gradio as gr
+
+.. sample_img_url = "https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/tower.jpg"
+
+.. img = load_image(sample_img_url).save("tower.jpg")
+
+.. def generate_from_text(text, negative_text, seed, num_steps, _=gr.Progress(track_tqdm=True)):
+.. result = ov_pipe(text, negative_prompt=negative_text, num_inference_steps=num_steps, seed=seed)
+.. return result["sample"][0]
+
+
+.. def generate_from_image(img, text, negative_text, seed, num_steps, strength, _=gr.Progress(track_tqdm=True)):
+.. result = ov_pipe(text, img, negative_prompt=negative_text, num_inference_steps=num_steps, seed=seed, strength=strength)
+.. return result["sample"][0]
+
+
+.. with gr.Blocks() as demo:
+.. with gr.Tab("Text-to-Image generation"):
+.. with gr.Row():
+.. with gr.Column():
+.. text_input = gr.Textbox(lines=3, label="Positive prompt")
+.. negative_text_input = gr.Textbox(lines=3, label="Negative prompt")
+.. seed_input = gr.Slider(0, 10000000, value=751, label="Seed")
+.. steps_input = gr.Slider(1, 50, value=20, step=1, label="Steps")
+.. out = gr.Image(label="Result", type="pil")
+.. sample_text = "futuristic synthwave city, retro sunset, crystals, spires, volumetric lighting, studio Ghibli style, rendered in unreal engine with clean details"
+.. sample_text2 = "RAW studio photo of tiny cute happy cat in a yellow raincoat in the woods, rain, a character portrait, soft lighting, high resolution, photo realistic, extremely detailed"
+.. negative_sample_text = ""
+.. negative_sample_text2 = "bad anatomy, blurry, noisy, jpeg artifacts, low quality, geometry, mutation, disgusting. ugly"
+.. btn = gr.Button()
+.. btn.click(generate_from_text, [text_input, negative_text_input, seed_input, steps_input], out)
+.. gr.Examples([[sample_text, negative_sample_text, 42, 20], [sample_text2, negative_sample_text2, 1561, 25]], [text_input, negative_text_input, seed_input, steps_input])
+.. with gr.Tab("Image-to-Image generation"):
+.. with gr.Row():
+.. with gr.Column():
+.. i2i_input = gr.Image(label="Image", type="pil")
+.. i2i_text_input = gr.Textbox(lines=3, label="Text")
+.. i2i_negative_text_input = gr.Textbox(lines=3, label="Negative prompt")
+.. i2i_seed_input = gr.Slider(0, 10000000, value=42, label="Seed")
+.. i2i_steps_input = gr.Slider(1, 50, value=10, step=1, label="Steps")
+.. strength_input = gr.Slider(0, 1, value=0.5, label="Strength")
+.. i2i_out = gr.Image(label="Result", type="pil")
+.. i2i_btn = gr.Button()
+.. sample_i2i_text = "amazing watercolor painting"
+.. i2i_btn.click(
+.. generate_from_image,
+.. [i2i_input, i2i_text_input, i2i_negative_text_input, i2i_seed_input, i2i_steps_input, strength_input],
+.. i2i_out,
+.. )
+.. gr.Examples(
+.. [["tower.jpg", sample_i2i_text, "", 6400023, 40, 0.3]],
+.. [i2i_input, i2i_text_input, i2i_negative_text_input, i2i_seed_input, i2i_steps_input, strength_input],
+.. )
+
+.. try:
+.. demo.queue().launch(debug=True)
+.. except Exception:
+.. demo.queue().launch(share=True, debug=True)
+.. # if you are launching remotely, specify server_name and server_port
+.. # demo.launch(server_name='your server name', server_port='server port in int')
+.. # Read more in the docs: https://gradio.app/docs/
+
+
+.. .. parsed-literal::
+
+.. Running on local URL: http://127.0.0.1:7860
+
+.. To create a public link, set `share=True` in `launch()`.
+
+
+
+.. .. raw:: html
+
+..