From e8933db6593626e5b70d36ea0530e8d3dcd1b19e Mon Sep 17 00:00:00 2001 From: Ravi Panchumarthy Date: Thu, 5 Dec 2024 12:48:33 +0100 Subject: [PATCH] update prompt template --- .../docker/build_image.sh | 2 +- .../docker/client_app.py | 62 +++++++++++++----- .../docker/img/client-app-screen-1.png | Bin 1089783 -> 1501242 bytes .../docker/img/client-app-screen-2.png | Bin 1110378 -> 1691469 bytes .../docker/img/client-app-screen-3.png | Bin 2851540 -> 3072549 bytes .../docker/img/multi-image-gen-app.gif | Bin 1607826 -> 2568227 bytes .../docker/img/server-app-screen-1.png | Bin 1083174 -> 1590025 bytes .../docker/img/server-app-screen-2.png | Bin 1135504 -> 1714053 bytes .../docker/img/server-app-screen-3.png | Bin 1007066 -> 1574460 bytes .../docker/llm/llm_handler.py | 28 ++++---- 10 files changed, 62 insertions(+), 30 deletions(-) diff --git a/examples/usecases/llm_diffusion_serving_app/docker/build_image.sh b/examples/usecases/llm_diffusion_serving_app/docker/build_image.sh index 1c25fbf96b..80529302de 100755 --- a/examples/usecases/llm_diffusion_serving_app/docker/build_image.sh +++ b/examples/usecases/llm_diffusion_serving_app/docker/build_image.sh @@ -20,7 +20,7 @@ echo "ROOT_DIR: $ROOT_DIR" # Build docker image for the application docker_build_cmd="DOCKER_BUILDKIT=1 \ -docker buildx build \ +docker buildx build --load \ --platform=linux/amd64 \ --file ${EXAMPLE_DIR}/Dockerfile \ --build-arg BASE_IMAGE=\"${BASE_IMAGE}\" \ diff --git a/examples/usecases/llm_diffusion_serving_app/docker/client_app.py b/examples/usecases/llm_diffusion_serving_app/docker/client_app.py index 616bc40522..91cb29369d 100644 --- a/examples/usecases/llm_diffusion_serving_app/docker/client_app.py +++ b/examples/usecases/llm_diffusion_serving_app/docker/client_app.py @@ -27,6 +27,15 @@ st.session_state.gen_captions = st.session_state.get("gen_captions", []) st.session_state.llm_prompts = st.session_state.get("llm_prompts", None) st.session_state.llm_time = st.session_state.get("llm_time", 0) +st.session_state.num_images = st.session_state.get("num_images", 2) +st.session_state.max_new_tokens = st.session_state.get("max_new_tokens", 100) + + +def update_max_tokens(): + # Update the max_new_tokens input value in session state and UI + # The prompts generated are description which are around 50 tokens per prompt + st.session_state.max_new_tokens = 50 * st.session_state.num_images + with st.sidebar: st.title("Image Generation with Llama, SDXL, torch.compile and OpenVINO") @@ -76,13 +85,23 @@ def get_model_status(model_name): ) # Client App Parameters - num_images = st.sidebar.number_input( - "Number of images to generate", min_value=1, max_value=8, value=2, step=1 + # Default value is set via session_state variables for num_images and max_new_tokens + st.sidebar.number_input( + "Number of images to generate", + min_value=1, + max_value=8, + step=1, + key="num_images", + on_change=update_max_tokens, ) st.subheader("LLM Model parameters") - max_new_tokens = st.sidebar.number_input( - "max_new_tokens", min_value=30, max_value=250, value=40, step=5 + st.sidebar.number_input( + "max_new_tokens", + min_value=100, + max_value=1250, + step=10, + key="max_new_tokens", ) temperature = st.sidebar.number_input( @@ -159,11 +178,19 @@ def sd_response_postprocess(response): def preprocess_llm_input(user_prompt, num_images=2): - template = """ Below is an instruction that describes a task. Write a response that appropriately completes the request. - Generate {} unique prompts similar to '{}' by changing the context, keeping the core theme intact. - Give the output in square brackets seperated by semicolon. + template = """ Generate expanded and descriptive prompts for a image generation model based on the user input. + Each prompt should build upon the original concept, adding layers of detail and context to create a more vivid and engaging scene for image generation. + Format each prompt distinctly within square brackets. + Ensure that each prompt is a standalone description that significantly elaborates on the original input as shown in the example below: + Example: For the input 'A futuristic cityscape with flying cars,' generate: +[A futuristic cityscape with sleek, silver flying cars zipping through the sky, set against a backdrop of towering skyscrapers and neon-lit streets.] +[A futuristic cityscape at dusk, with flying cars of various colors and shapes flying in formation.] +[A futuristic cityscape at night, with flying cars illuminated by the city's vibrant nightlife.] + + Aim for a tone that is rich in imagination and visual appeal, capturing the essence of the scene with depth and creativity. Do not generate text beyond the specified output format. Do not explain your response. - ### Response: + Generate {} similar detailed prompts for the user's input: {}. + Organize the output such that each prompt is within square brackets. Refer to example above. """ prompt_template_with_user_input = template.format(num_images, user_prompt) @@ -206,7 +233,7 @@ def generate_llm_model_response(prompt_template_with_user_input, user_prompt): { "prompt_template": prompt_template_with_user_input, "user_prompt": user_prompt, - "max_new_tokens": max_new_tokens, + "max_new_tokens": st.session_state.max_new_tokens, "temperature": temperature, "top_k": top_k, "top_p": top_p, @@ -260,7 +287,7 @@ def generate_llm_model_response(prompt_template_with_user_input, user_prompt): ) user_prompt = st.text_input("Enter a prompt for image generation:") -include_user_prompt = st.checkbox("Include orginal prompt", value=False) +include_user_prompt = st.checkbox("Include original prompt", value=False) prompt_container = st.container() status_container = st.container() @@ -287,15 +314,18 @@ def display_prompts(): llm_start_time = time.time() st.session_state.llm_prompts = [user_prompt] - if num_images > 1: + if st.session_state.num_images > 1: prompt_template_with_user_input = preprocess_llm_input( - user_prompt, num_images + user_prompt, st.session_state.num_images ) llm_prompts = generate_llm_model_response( prompt_template_with_user_input, user_prompt ) st.session_state.llm_prompts = postprocess_llm_response( - llm_prompts, user_prompt, num_images, include_user_prompt + llm_prompts, + user_prompt, + st.session_state.num_images, + include_user_prompt, ) st.session_state.llm_time = time.time() - llm_start_time @@ -306,11 +336,11 @@ def display_prompts(): prompt_container.write( "Enter Image Generation Prompt and Click Generate Prompts !" ) - elif len(st.session_state.llm_prompts) < num_images: + elif len(st.session_state.llm_prompts) < st.session_state.num_images: prompt_container.warning( f"""Insufficient prompts. Regenerate prompts ! - Num Images Requested: {num_images}, Prompts Generated: {len(st.session_state.llm_prompts)} - {f"Consider increasing the max_new_tokens parameter !" if num_images > 4 else ""}""", + Num Images Requested: {st.session_state.num_images}, Prompts Generated: {len(st.session_state.llm_prompts)} + {f"Consider increasing the max_new_tokens parameter !" if st.session_state.num_images > 4 else ""}""", icon="⚠️", ) else: diff --git a/examples/usecases/llm_diffusion_serving_app/docker/img/client-app-screen-1.png b/examples/usecases/llm_diffusion_serving_app/docker/img/client-app-screen-1.png index abf041b7b67af5f859e1119a4dfb8be5f9d1c755..ebcf9bb17578265a83b9c449c810022dac79aece 100644 GIT binary patch literal 1501242 zcmeFYXIK+$*ER~GqN0EmloGIll!z!bBq|CjC@Lx-B}y@HBO-(j$%vq+bU}&&5fKqZ z5D}0XQJR!QigXA)^gt2_sk0|~Kkxe-`}@0p>>r<(IWo!2HIrGhu5+z*o{J}!E}CxH zv}couh{%?6XHQ=d5!o~)A|f%gVLkLs_udmFA|jhFx)~c^I%jOGbjjQEw%Z*S5s|Y` 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