From 08185ddd064bb8da326fd776f406371466925ecd Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Mon, 18 Mar 2024 09:53:32 +0100 Subject: [PATCH 01/23] Update run.py Increased the decoder guidance scale from 0.0 to 1.1 to enable guidance scaling. Values of 1.0 and below effectively disable this feature. The change will influence the model's output to be more closely aligned with the prompt. --- run.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/run.py b/run.py index 0236f6c..68c2adb 100644 --- a/run.py +++ b/run.py @@ -89,7 +89,7 @@ def generate_images(prompt, height, width, negative_prompt, guidance_scale, num_ image_embeddings=prior_output.image_embeddings.to(torch.float16), prompt=cleaned_prompt, negative_prompt=negative_prompt, - guidance_scale=0.0, + guidance_scale=1.1, # Guidance scale is enabled by setting guidance_scale > 1 num_inference_steps=calculated_steps_decoder, output_type="pil", generator=generator, From 4af1cb6fd6943f03ac1c2f80bae21ae5a8a3c2d3 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Mon, 18 Mar 2024 18:56:15 +0100 Subject: [PATCH 02/23] Update run.py Found a few lines in the loading process that are not needed, even slow the model loading process further down. See [issue #32 ](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/issues/32) for reference. --- run.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/run.py b/run.py index 68c2adb..16f039b 100644 --- a/run.py +++ b/run.py @@ -79,8 +79,6 @@ def generate_images(prompt, height, width, negative_prompt, guidance_scale, num_ num_images_per_prompt=int(num_images_per_prompt), generator=generator, ) - del prior # Explicitly delete the model to help with memory management - torch.cuda.empty_cache() # Clear the CUDA cache to free up unused memory # Load, use, and discard the decoder model decoder = load_model("decoder") @@ -94,9 +92,7 @@ def generate_images(prompt, height, width, negative_prompt, guidance_scale, num_ output_type="pil", generator=generator, ).images - del decoder # Explicitly delete the model to help with memory management - torch.cuda.empty_cache() # Clear the CUDA cache to free up unused memory - + metadata_embedded = { "parameters": "Stable Cascade", "prompt": cleaned_prompt, From 9fdf29caaa2aabf6a1511090cf629f2a2eb7bd14 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Mon, 18 Mar 2024 20:00:11 +0100 Subject: [PATCH 03/23] Update ROADMAP.md --- docs/ROADMAP.md | 22 ++++++++++++---------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md index f263e45..eee874d 100644 --- a/docs/ROADMAP.md +++ b/docs/ROADMAP.md @@ -1,6 +1,16 @@ ### Features to Add: -**1. Image Metadata Storage** +**2. Batch Size Fix (>1)** + +* **Goal:** Restore the ability to generate multiple images per prompt. + - [x] Not getting anywhere, opened [issue #7377](https://github.com/huggingface/diffusers/issues/7377) to hopefully get this resolved. + - [ ] **Issue Review:** Test provided solution to issue. +* **Troubleshooting Steps:** + - [ ] **Error Analysis:** Identify the specific error or unexpected behavior. + - [ ] **Code Review:** Examine logic related to batch size handling. + - [ ] **Dependency Check:** Ensure compatibility between any updated libraries and the batching functionality. + +**1. Image Metadata Storage** ✔️ * **Goal:** Embed essential generation parameters within generated images for reproducibility and analysis. * **Metadata to Include:** @@ -8,18 +18,10 @@ - [x] Number of steps - [x] Model name - [x] CFG value - - [ ] Sampler + - [x] Sampler - [x] Prompt * **Implementation Steps:** - **Library Selection:** Research image metadata libraries (e.g., ExifWrite, PIL/Pillow). - **Integration:** Modify image generation code to write metadata. - **Testing:** Verify metadata is written and readable. - -**2. Batch Size Fix (>1)** - -* **Goal:** Restore the ability to generate multiple images per prompt. -* **Troubleshooting Steps:** - - [ ] **Error Analysis:** Identify the specific error or unexpected behavior. - - [ ] **Code Review:** Examine logic related to batch size handling. - - [ ] **Dependency Check:** Ensure compatibility between any updated libraries and the batching functionality. From dba2c0ca8567093eced6218b396b27b6a91d2302 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Mon, 18 Mar 2024 20:10:03 +0100 Subject: [PATCH 04/23] Update ROADMAP.md --- docs/ROADMAP.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md index eee874d..62e5681 100644 --- a/docs/ROADMAP.md +++ b/docs/ROADMAP.md @@ -1,5 +1,12 @@ ### Features to Add: +**3. Test Decoder Dtype Influence** + +* **`torch.bfloat16` vs. `torch.float16`:** + - [ ] VRAM footprint + - [ ] Inference speed + - [ ] Image quality + **2. Batch Size Fix (>1)** * **Goal:** Restore the ability to generate multiple images per prompt. From 3596fc565c616f87fc4195f842a5490c7a6130ca Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Mon, 18 Mar 2024 20:15:35 +0100 Subject: [PATCH 05/23] Update run.py Added scheduler metadata --- run.py | 1 + 1 file changed, 1 insertion(+) diff --git a/run.py b/run.py index 16f039b..4790e81 100644 --- a/run.py +++ b/run.py @@ -95,6 +95,7 @@ def generate_images(prompt, height, width, negative_prompt, guidance_scale, num_ metadata_embedded = { "parameters": "Stable Cascade", + "scheduler": "DDPMWuerstchenScheduler", "prompt": cleaned_prompt, "negative_prompt": negative_prompt, "width": int(width), From 044474fa7a5ea04c3c192bb9f7d92234499ea3dd Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Mon, 18 Mar 2024 20:18:13 +0100 Subject: [PATCH 06/23] Create run_bf16.py Added `run_bf16.py`, which is modified version of `run.py` for testing effects of `torch.float16` vs. `torch.bfloat16` in decoder. --- run_bf16.py | 341 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 341 insertions(+) create mode 100644 run_bf16.py diff --git a/run_bf16.py b/run_bf16.py new file mode 100644 index 0000000..b9c0a11 --- /dev/null +++ b/run_bf16.py @@ -0,0 +1,341 @@ +# This file contains code that is derived from Stability AI's software products, +# which are licensed under the Stability AI Non-Commercial Research Community License Agreement. +# Copyright (c) Stability AI Ltd. All Rights Reserved. +# +# The original work is provided by Stability AI and is available under the terms of the +# Stability AI Non-Commercial Research Community License Agreement, dated November 28, 2023. +# For more information, see https://stability.ai/use-policy. + +from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline +import gradio as gr +import json +import os +from PIL import Image +from PIL.PngImagePlugin import PngInfo +import re +import torch +import uuid + +# Initialize global settings +device = "cuda" +dtype = torch.bfloat16 +output_directory = "./output" + +def load_model(model_name): + # Load model from disk every time it's needed + if model_name == "prior": + model = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", variant="bf16", torch_dtype=dtype).to(device) + elif model_name == "decoder": + model = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=dtype).to(device) + else: + raise ValueError(f"Unknown model name: {model_name}") + return model + +def clean_prompt(prompt): + """ + Cleans and formats the prompt text. + + Removes unnecessary articles ('a' and 'the'), standardizes whitespace and comma usage, + and ensures the sanitized prompt has the format "text, text, text text". + """ + prompt = re.sub(r"\b(a|the)\b", "", prompt, flags=re.IGNORECASE) + prompt = re.sub(r"\s+", " ", prompt).strip() + prompt = re.sub(r"\s*,\s*", ", ", prompt) + prompt = prompt.strip(',') + prompt_parts = [part.strip() for part in prompt.split(',')] + prompt_parts = [part for part in prompt_parts if part] + prompt = ', '.join(prompt_parts) + return prompt + +def generate_images(prompt, height, width, negative_prompt, guidance_scale, num_inference_steps, num_images_per_prompt, seed): + """ + Generates images based on the provided parameters and settings. + """ + os.makedirs(output_directory, exist_ok=True) + output_images = [] + calculated_steps_prior = int(num_inference_steps * 2 / 3) + calculated_steps_decoder = int(num_inference_steps * 1 / 3) + + # Sanitize user input prompt before using it + cleaned_prompt = clean_prompt(prompt) + print("Processed prompt:", cleaned_prompt) + + # Load, use, and discard the prior model + prior = load_model("prior") + + with torch.cuda.amp.autocast(dtype=dtype): + seed = torch.seed() if seed == -1 else seed # Get the initial seed + torch.manual_seed(seed) # Apply the seed for generation + generator = torch.Generator(device).manual_seed(seed) # Preserve for reproducibility + + prior.enable_model_cpu_offload() + prior_output = prior( + prompt=cleaned_prompt, + height=int(height), + width=int(width), + negative_prompt=negative_prompt, + guidance_scale=float(guidance_scale), + num_inference_steps=int(calculated_steps_prior), + num_images_per_prompt=int(num_images_per_prompt), + generator=generator, + ) + + # Load, use, and discard the decoder model + decoder = load_model("decoder") + decoder.enable_model_cpu_offload() + decoder_output = decoder( + image_embeddings=prior_output.image_embeddings.to(dtype), + prompt=cleaned_prompt, + negative_prompt=negative_prompt, + guidance_scale=1.1, # Guidance scale is enabled by setting guidance_scale > 1 + num_inference_steps=calculated_steps_decoder, + output_type="pil", + generator=generator, + ).images + + metadata_embedded = { + "parameters": "Stable Cascade", + "scheduler": "DDPMWuerstchenScheduler", + "prompt": cleaned_prompt, + "negative_prompt": negative_prompt, + "width": int(width), + "height": int(height), + "steps": (calculated_steps_prior, calculated_steps_decoder), + "guidance_scale": float(guidance_scale), + "seed": str(seed) + # ... any other metadata you want + } + + #Define the metadata you want to save + metadata_filename = { + "seed": str(seed) + } + + # Metadata and Saving + for image in decoder_output: + unique_filename = f"image_seed-{metadata_filename['seed']}_identifier-{uuid.uuid4()}.png" + save_path = os.path.join(output_directory, unique_filename) + + # Prepare metadata using PngInfo + metadata = PngInfo() + for key, value in metadata_embedded.items(): # Iterate through metadata_embedded + if not isinstance(value, str): # Check if value is already a string + value = str(value) # Convert to string if needed + metadata.add_text(key, value) + + image.save(save_path, pnginfo=metadata) # Embed and save + output_images.append(save_path) + + return output_images + +# Load the JSON data +with open('prompt_configurator/data_prompt_configurator.json', 'r') as file: + data = json.load(file) + +# Retrieves style_choices, technique, subject, etc., from the loaded JSON file +# Styles list from https://latenightportrait.com/60-art-styles-explained-with-examples/#ib-toc-anchor-46 +style_choices = data['style_choices'] +technique = data['technique'] +subject = data['subject'] +action = data['action'] +affective_adverb = data['affective_adverb'] +physique = data['physique'] +hairstyle = data['hairstyle'] +facial_features = data['facial_features'] +top = data['top'] +bottom = data['bottom'] +background = data['background'] +lighting = data['lighting'] +color = data['color'] +texture = data['texture'] +camera = data['camera'] +framing = data['framing'] +mood = data['mood'] +story = data['story'] +post_processing = data['post_processing'] + +# UI Layout putting Configurator blocks inside a function for clarity. +def configure_ui(): + with gr.Blocks(theme=gr.themes.Soft(), analytics_enabled=False) as demo: # Change to your desired theme + gr.HTML(""" + + + + """) + + gr.Markdown("# Stable Cascade Image Generator") + + # CSS placement + gr.HTML(""" + + """) + with gr.Column(): + gallery = gr.Gallery(label="Generated Images") + generate_button = gr.Button("Generate") + with gr.Row(): + prompt = gr.Textbox(label="Prompt") + negative_prompt = gr.Textbox(label="Negative Prompt", value="") + + with gr.Row(): # For three parameter columns + with gr.Column(): + # components in left column + width = gr.Slider(minimum=512, maximum=2048, step=1, value=1024, label="Image Width") + height = gr.Slider(minimum=512, maximum=2048, step=1, value=1024, label="Image Height") + with gr.Column(): + # components in central column + num_inference_steps = gr.Slider(minimum=1, maximum=150, step=1, value=30, label="Steps") + num_images_per_prompt = gr.Number(label="Number of Images per Prompt (Currently, the system can only generate one image at a time. Please leave the 'Images per Prompt' setting at 1 until this issue is fixed.)", value=1) + with gr.Column(): + # components in right column + guidance_scale = gr.Slider(minimum=1, maximum=20, step=0.5, value=4.0, label="Guidance Scale") + seed = gr.Number(label="Seed", value=-1) + + generate_button.click( + fn=generate_images, + inputs=[prompt, height, width, negative_prompt, guidance_scale, num_inference_steps, num_images_per_prompt, seed], + outputs=[gallery] + ) + + def handle_dropdown_change(*args): + selected_options = ' '.join([str(arg) for arg in args if arg]) + return selected_options + + configurator_group = gr.Group(visible=True) # Group to hold the configurator elements. Initially hidden. + + with configurator_group: + with gr.Row(): + # Prompt Configurator dropdowns + output_text = gr.Textbox("Your configured prompt.", label="Selected Option") + with gr.Row(): + style_dropdown = gr.Dropdown(style_choices, label="Style") + technique_dropdown = gr.Dropdown(technique, label="Technique") + subject_dropdown = gr.Dropdown(subject, label="Subject") + with gr.Row(): + action_dropdown = gr.Dropdown(action, label="Action") + affective_adverb_dropdown = gr.Dropdown(affective_adverb, label="Affective verb") + with gr.Row(): + physique_dropdown = gr.Dropdown(physique, label="Physique") + hairstyle_dropdown = gr.Dropdown(hairstyle, label="Hairstyle") + facial_features_dropdown = gr.Dropdown(facial_features, label="Facial features") + top_dropdown = gr.Dropdown(top, label="Top") + bottom_dropdown = gr.Dropdown(bottom, label="Bottom") + with gr.Row(): + background_dropdown = gr.Dropdown(background, label="Background") + lighting_dropdown = gr.Dropdown(lighting, label="Lighting") + with gr.Row(): + color_dropdown = gr.Dropdown(color, label="Color") + texture_dropdown = gr.Dropdown(texture, label="Texture") + with gr.Row(): + camera_dropdown = gr.Dropdown(camera, label="Camera") + framing_dropdown = gr.Dropdown(framing, label="Framing") + with gr.Row(): + mood_dropdown = gr.Dropdown(mood, label="Mood") + story_dropdown = gr.Dropdown(story, label="Story") + with gr.Row(): + post_processing_dropdown = gr.Dropdown(post_processing, label="Post-processing") + + # Assuming you want to do something with the dropdowns, like displaying the selected value + style_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + technique_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + subject_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + action_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + affective_adverb_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + physique_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + hairstyle_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + facial_features_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + top_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + bottom_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + background_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + lighting_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + color_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + texture_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + camera_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + framing_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + mood_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + story_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + post_processing_dropdown.change( + fn=handle_dropdown_change, + inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], + outputs=[output_text] + ) + return demo # Return the Blocks object for external access + +# Adjusted call to configure_ui and launching +demo_ui = configure_ui() # This will receive the 'demo' object returned from the function +demo_ui.launch(inbrowser=True) # Use the returned object to launch the UI From 3a0fcc5617c12b213866567dd9dfebf8dff6671a Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Tue, 19 Mar 2024 18:55:44 +0100 Subject: [PATCH 07/23] Update ROADMAP.md Batch size issue fixed! --- docs/ROADMAP.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md index 62e5681..94fd272 100644 --- a/docs/ROADMAP.md +++ b/docs/ROADMAP.md @@ -7,11 +7,11 @@ - [ ] Inference speed - [ ] Image quality -**2. Batch Size Fix (>1)** +**2. Batch Size Fix (>1)** ✔️ * **Goal:** Restore the ability to generate multiple images per prompt. - [x] Not getting anywhere, opened [issue #7377](https://github.com/huggingface/diffusers/issues/7377) to hopefully get this resolved. - - [ ] **Issue Review:** Test provided solution to issue. + - [x] **Issue Review:** Test provided solution to issue ([PR #7381](https://github.com/huggingface/diffusers/pull/7381))! Amazing work, thx [@DN6](https://github.com/DN6)! 🎉 * **Troubleshooting Steps:** - [ ] **Error Analysis:** Identify the specific error or unexpected behavior. - [ ] **Code Review:** Examine logic related to batch size handling. From 6311d2d9f12921cd874b634fa32c93773135a520 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Tue, 19 Mar 2024 19:01:47 +0100 Subject: [PATCH 08/23] Update run.py Deleted num_images_per_prompt bug notice --- run.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/run.py b/run.py index 4790e81..b368c99 100644 --- a/run.py +++ b/run.py @@ -188,7 +188,7 @@ def configure_ui(): with gr.Column(): # components in central column num_inference_steps = gr.Slider(minimum=1, maximum=150, step=1, value=30, label="Steps") - num_images_per_prompt = gr.Number(label="Number of Images per Prompt (Currently, the system can only generate one image at a time. Please leave the 'Images per Prompt' setting at 1 until this issue is fixed.)", value=1) + num_images_per_prompt = gr.Number(label="Number of Images per Prompt)", value=1) with gr.Column(): # components in right column guidance_scale = gr.Slider(minimum=1, maximum=20, step=0.5, value=4.0, label="Guidance Scale") From be63a7cf6e9efa45113aff3134e8f28bd0d10908 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Tue, 19 Mar 2024 19:03:46 +0100 Subject: [PATCH 09/23] Update run.py --- run.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/run.py b/run.py index b368c99..185c0ae 100644 --- a/run.py +++ b/run.py @@ -188,7 +188,7 @@ def configure_ui(): with gr.Column(): # components in central column num_inference_steps = gr.Slider(minimum=1, maximum=150, step=1, value=30, label="Steps") - num_images_per_prompt = gr.Number(label="Number of Images per Prompt)", value=1) + num_images_per_prompt = gr.Number(label="Number of Images per Prompt)", value=2) with gr.Column(): # components in right column guidance_scale = gr.Slider(minimum=1, maximum=20, step=0.5, value=4.0, label="Guidance Scale") From e9b41650473f09d4c3b61bf113ffde5384c543c5 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Tue, 19 Mar 2024 19:13:18 +0100 Subject: [PATCH 10/23] Update CHANGELOG.md --- docs/CHANGELOG.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index e88c84c..abb4aa1 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -1,5 +1,8 @@ ### 17.03.2024 +* **[PR #7381:](https://github.com/huggingface/diffusers/pull/7381)** + * Fixed the bug so we can generate multiple images simultaneously – thx [@DN6](https://github.com/DN6)! 🎉 + * **[PR #31:](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/commit/e84010c83daa126b10cecae584cb8a4979689528)** * Generated image filenames follow the format: `image_seed-[seed]_identifier-[UUID].png`. * Generation metadata (model, prompt, negative prompt, etc.) is embedded within the PNG files. From 62cd2bd9994d934d92043dac0d7ebfb129fd8c47 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Tue, 19 Mar 2024 21:58:07 +0100 Subject: [PATCH 11/23] Delete run_bf16.py --- run_bf16.py | 341 ---------------------------------------------------- 1 file changed, 341 deletions(-) delete mode 100644 run_bf16.py diff --git a/run_bf16.py b/run_bf16.py deleted file mode 100644 index b9c0a11..0000000 --- a/run_bf16.py +++ /dev/null @@ -1,341 +0,0 @@ -# This file contains code that is derived from Stability AI's software products, -# which are licensed under the Stability AI Non-Commercial Research Community License Agreement. -# Copyright (c) Stability AI Ltd. All Rights Reserved. -# -# The original work is provided by Stability AI and is available under the terms of the -# Stability AI Non-Commercial Research Community License Agreement, dated November 28, 2023. -# For more information, see https://stability.ai/use-policy. - -from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline -import gradio as gr -import json -import os -from PIL import Image -from PIL.PngImagePlugin import PngInfo -import re -import torch -import uuid - -# Initialize global settings -device = "cuda" -dtype = torch.bfloat16 -output_directory = "./output" - -def load_model(model_name): - # Load model from disk every time it's needed - if model_name == "prior": - model = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", variant="bf16", torch_dtype=dtype).to(device) - elif model_name == "decoder": - model = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=dtype).to(device) - else: - raise ValueError(f"Unknown model name: {model_name}") - return model - -def clean_prompt(prompt): - """ - Cleans and formats the prompt text. - - Removes unnecessary articles ('a' and 'the'), standardizes whitespace and comma usage, - and ensures the sanitized prompt has the format "text, text, text text". - """ - prompt = re.sub(r"\b(a|the)\b", "", prompt, flags=re.IGNORECASE) - prompt = re.sub(r"\s+", " ", prompt).strip() - prompt = re.sub(r"\s*,\s*", ", ", prompt) - prompt = prompt.strip(',') - prompt_parts = [part.strip() for part in prompt.split(',')] - prompt_parts = [part for part in prompt_parts if part] - prompt = ', '.join(prompt_parts) - return prompt - -def generate_images(prompt, height, width, negative_prompt, guidance_scale, num_inference_steps, num_images_per_prompt, seed): - """ - Generates images based on the provided parameters and settings. - """ - os.makedirs(output_directory, exist_ok=True) - output_images = [] - calculated_steps_prior = int(num_inference_steps * 2 / 3) - calculated_steps_decoder = int(num_inference_steps * 1 / 3) - - # Sanitize user input prompt before using it - cleaned_prompt = clean_prompt(prompt) - print("Processed prompt:", cleaned_prompt) - - # Load, use, and discard the prior model - prior = load_model("prior") - - with torch.cuda.amp.autocast(dtype=dtype): - seed = torch.seed() if seed == -1 else seed # Get the initial seed - torch.manual_seed(seed) # Apply the seed for generation - generator = torch.Generator(device).manual_seed(seed) # Preserve for reproducibility - - prior.enable_model_cpu_offload() - prior_output = prior( - prompt=cleaned_prompt, - height=int(height), - width=int(width), - negative_prompt=negative_prompt, - guidance_scale=float(guidance_scale), - num_inference_steps=int(calculated_steps_prior), - num_images_per_prompt=int(num_images_per_prompt), - generator=generator, - ) - - # Load, use, and discard the decoder model - decoder = load_model("decoder") - decoder.enable_model_cpu_offload() - decoder_output = decoder( - image_embeddings=prior_output.image_embeddings.to(dtype), - prompt=cleaned_prompt, - negative_prompt=negative_prompt, - guidance_scale=1.1, # Guidance scale is enabled by setting guidance_scale > 1 - num_inference_steps=calculated_steps_decoder, - output_type="pil", - generator=generator, - ).images - - metadata_embedded = { - "parameters": "Stable Cascade", - "scheduler": "DDPMWuerstchenScheduler", - "prompt": cleaned_prompt, - "negative_prompt": negative_prompt, - "width": int(width), - "height": int(height), - "steps": (calculated_steps_prior, calculated_steps_decoder), - "guidance_scale": float(guidance_scale), - "seed": str(seed) - # ... any other metadata you want - } - - #Define the metadata you want to save - metadata_filename = { - "seed": str(seed) - } - - # Metadata and Saving - for image in decoder_output: - unique_filename = f"image_seed-{metadata_filename['seed']}_identifier-{uuid.uuid4()}.png" - save_path = os.path.join(output_directory, unique_filename) - - # Prepare metadata using PngInfo - metadata = PngInfo() - for key, value in metadata_embedded.items(): # Iterate through metadata_embedded - if not isinstance(value, str): # Check if value is already a string - value = str(value) # Convert to string if needed - metadata.add_text(key, value) - - image.save(save_path, pnginfo=metadata) # Embed and save - output_images.append(save_path) - - return output_images - -# Load the JSON data -with open('prompt_configurator/data_prompt_configurator.json', 'r') as file: - data = json.load(file) - -# Retrieves style_choices, technique, subject, etc., from the loaded JSON file -# Styles list from https://latenightportrait.com/60-art-styles-explained-with-examples/#ib-toc-anchor-46 -style_choices = data['style_choices'] -technique = data['technique'] -subject = data['subject'] -action = data['action'] -affective_adverb = data['affective_adverb'] -physique = data['physique'] -hairstyle = data['hairstyle'] -facial_features = data['facial_features'] -top = data['top'] -bottom = data['bottom'] -background = data['background'] -lighting = data['lighting'] -color = data['color'] -texture = data['texture'] -camera = data['camera'] -framing = data['framing'] -mood = data['mood'] -story = data['story'] -post_processing = data['post_processing'] - -# UI Layout putting Configurator blocks inside a function for clarity. -def configure_ui(): - with gr.Blocks(theme=gr.themes.Soft(), analytics_enabled=False) as demo: # Change to your desired theme - gr.HTML(""" - - - - """) - - gr.Markdown("# Stable Cascade Image Generator") - - # CSS placement - gr.HTML(""" - - """) - with gr.Column(): - gallery = gr.Gallery(label="Generated Images") - generate_button = gr.Button("Generate") - with gr.Row(): - prompt = gr.Textbox(label="Prompt") - negative_prompt = gr.Textbox(label="Negative Prompt", value="") - - with gr.Row(): # For three parameter columns - with gr.Column(): - # components in left column - width = gr.Slider(minimum=512, maximum=2048, step=1, value=1024, label="Image Width") - height = gr.Slider(minimum=512, maximum=2048, step=1, value=1024, label="Image Height") - with gr.Column(): - # components in central column - num_inference_steps = gr.Slider(minimum=1, maximum=150, step=1, value=30, label="Steps") - num_images_per_prompt = gr.Number(label="Number of Images per Prompt (Currently, the system can only generate one image at a time. Please leave the 'Images per Prompt' setting at 1 until this issue is fixed.)", value=1) - with gr.Column(): - # components in right column - guidance_scale = gr.Slider(minimum=1, maximum=20, step=0.5, value=4.0, label="Guidance Scale") - seed = gr.Number(label="Seed", value=-1) - - generate_button.click( - fn=generate_images, - inputs=[prompt, height, width, negative_prompt, guidance_scale, num_inference_steps, num_images_per_prompt, seed], - outputs=[gallery] - ) - - def handle_dropdown_change(*args): - selected_options = ' '.join([str(arg) for arg in args if arg]) - return selected_options - - configurator_group = gr.Group(visible=True) # Group to hold the configurator elements. Initially hidden. - - with configurator_group: - with gr.Row(): - # Prompt Configurator dropdowns - output_text = gr.Textbox("Your configured prompt.", label="Selected Option") - with gr.Row(): - style_dropdown = gr.Dropdown(style_choices, label="Style") - technique_dropdown = gr.Dropdown(technique, label="Technique") - subject_dropdown = gr.Dropdown(subject, label="Subject") - with gr.Row(): - action_dropdown = gr.Dropdown(action, label="Action") - affective_adverb_dropdown = gr.Dropdown(affective_adverb, label="Affective verb") - with gr.Row(): - physique_dropdown = gr.Dropdown(physique, label="Physique") - hairstyle_dropdown = gr.Dropdown(hairstyle, label="Hairstyle") - facial_features_dropdown = gr.Dropdown(facial_features, label="Facial features") - top_dropdown = gr.Dropdown(top, label="Top") - bottom_dropdown = gr.Dropdown(bottom, label="Bottom") - with gr.Row(): - background_dropdown = gr.Dropdown(background, label="Background") - lighting_dropdown = gr.Dropdown(lighting, label="Lighting") - with gr.Row(): - color_dropdown = gr.Dropdown(color, label="Color") - texture_dropdown = gr.Dropdown(texture, label="Texture") - with gr.Row(): - camera_dropdown = gr.Dropdown(camera, label="Camera") - framing_dropdown = gr.Dropdown(framing, label="Framing") - with gr.Row(): - mood_dropdown = gr.Dropdown(mood, label="Mood") - story_dropdown = gr.Dropdown(story, label="Story") - with gr.Row(): - post_processing_dropdown = gr.Dropdown(post_processing, label="Post-processing") - - # Assuming you want to do something with the dropdowns, like displaying the selected value - style_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - technique_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - subject_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - action_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - affective_adverb_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - physique_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - hairstyle_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - facial_features_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - top_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - bottom_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - background_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - lighting_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - color_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - texture_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - camera_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - framing_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - mood_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - story_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - post_processing_dropdown.change( - fn=handle_dropdown_change, - inputs=[style_dropdown, technique_dropdown, subject_dropdown, action_dropdown, affective_adverb_dropdown, physique_dropdown, hairstyle_dropdown, facial_features_dropdown, top_dropdown, bottom_dropdown, background_dropdown, lighting_dropdown, color_dropdown, texture_dropdown, camera_dropdown, framing_dropdown, mood_dropdown, story_dropdown, post_processing_dropdown], - outputs=[output_text] - ) - return demo # Return the Blocks object for external access - -# Adjusted call to configure_ui and launching -demo_ui = configure_ui() # This will receive the 'demo' object returned from the function -demo_ui.launch(inbrowser=True) # Use the returned object to launch the UI From f87a04f8035b5a9d5ff21a05c248e6452a88f661 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Tue, 19 Mar 2024 21:59:27 +0100 Subject: [PATCH 12/23] Update run.py Changed torch.float16 to torch.bfloat16 for decoder, because loading speed is superior with torch.bfloat16. --- run.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/run.py b/run.py index 185c0ae..f5ed4a4 100644 --- a/run.py +++ b/run.py @@ -26,7 +26,7 @@ def load_model(model_name): if model_name == "prior": model = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", variant="bf16", torch_dtype=dtype).to(device) elif model_name == "decoder": - model = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=torch.float16).to(device) + model = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=dtype).to(device) else: raise ValueError(f"Unknown model name: {model_name}") return model @@ -84,7 +84,7 @@ def generate_images(prompt, height, width, negative_prompt, guidance_scale, num_ decoder = load_model("decoder") decoder.enable_model_cpu_offload() decoder_output = decoder( - image_embeddings=prior_output.image_embeddings.to(torch.float16), + image_embeddings=prior_output.image_embeddings.to(dtype), prompt=cleaned_prompt, negative_prompt=negative_prompt, guidance_scale=1.1, # Guidance scale is enabled by setting guidance_scale > 1 @@ -188,7 +188,7 @@ def configure_ui(): with gr.Column(): # components in central column num_inference_steps = gr.Slider(minimum=1, maximum=150, step=1, value=30, label="Steps") - num_images_per_prompt = gr.Number(label="Number of Images per Prompt)", value=2) + num_images_per_prompt = gr.Number(label="Number of Images per Prompt (Currently, the system can only generate one image at a time. Please leave the 'Images per Prompt' setting at 1 until this issue is fixed.)", value=1) with gr.Column(): # components in right column guidance_scale = gr.Slider(minimum=1, maximum=20, step=0.5, value=4.0, label="Guidance Scale") From 4e8a0e6bbba48a681d2c5c4e86c7f2b066a50a2d Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Tue, 19 Mar 2024 22:01:21 +0100 Subject: [PATCH 13/23] Update run.py --- run.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/run.py b/run.py index f5ed4a4..a891731 100644 --- a/run.py +++ b/run.py @@ -188,7 +188,7 @@ def configure_ui(): with gr.Column(): # components in central column num_inference_steps = gr.Slider(minimum=1, maximum=150, step=1, value=30, label="Steps") - num_images_per_prompt = gr.Number(label="Number of Images per Prompt (Currently, the system can only generate one image at a time. Please leave the 'Images per Prompt' setting at 1 until this issue is fixed.)", value=1) + num_images_per_prompt = gr.Number(label="Number of Images per Prompt", value=2) with gr.Column(): # components in right column guidance_scale = gr.Slider(minimum=1, maximum=20, step=0.5, value=4.0, label="Guidance Scale") From 50ac0488d2a62fae69677564e1966017aaad7b6e Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Wed, 20 Mar 2024 11:11:33 +0100 Subject: [PATCH 14/23] Add files via upload Added charts from torch.float16 vs. torch.bfloat16 tests. --- chart_dtype_VRAM_footprint_compared.png | Bin 0 -> 29517 bytes ...pe_inference_and_loading_speeds_compared.png | Bin 0 -> 31942 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 chart_dtype_VRAM_footprint_compared.png create mode 100644 chart_dtype_inference_and_loading_speeds_compared.png diff --git a/chart_dtype_VRAM_footprint_compared.png 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zn22B%YgI)6QkRB=|D&UOb+39qrwd)DY0rCgQceb6I_je~7BpHE0hcjbK!9oW^S(92 z@*RFjv%VomsMTia-qxEn>YK@zH_sD^qOt5XRk<@m!-(x$mW z!mo)D^R$N}s7oXCisNPr`cM8H3Q!{o9MVEMk%BGcLj1xrv>pGEi2`QvU2J}OI568) zCI$d5TMQ_n7kpPMybo~&m_;vp^8v{F+VzBmoVkmV+ac}DI?~koX_8~E+Ohs;br;`L z@4m^ob@}c~jV~{VSE!k=l-Pu>ZWXz-ho277QgzUgk!|3owlGOm-HfaixHZqxhdaSw z^}XUO)|>8dv)M__xfO5h@cHIXKEK0?Ri@uS+7-|)(Q942FL^$^U*AUi2}m`F0={zqu&(<8PmY(n*_p{gcT5s*wz;D~`A49c%D vig01^pJFC%O&{~`|BaTy|D{!kfgZts%SU1$#qpm!k1cZhmyG@cEuQ=@AePv7 literal 0 HcmV?d00001 From 0364173851e28e3430ab61dfd950fef742b3ad2a Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Wed, 20 Mar 2024 12:33:17 +0100 Subject: [PATCH 18/23] Update CHANGELOG.md 20.03.2024 updates --- docs/CHANGELOG.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index abb4aa1..0b8db63 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -1,8 +1,15 @@ -### 17.03.2024 +### 20.03.2024 + +* **Key finding:** Using torch.bfloat16 for the decoder significantly increased model loading speed (3.24x faster) compared to torch.float16. "Other performance metrics remained virtually unchanged, and surprisingly, there was no perceptible difference in image quality (see [Figure 1](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/blob/dev/assets/dtype_comparison_two_images.jpg)). + * **Charts:** I've created two charts visualizing these results (see [Figure 2](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/blob/dev/assets/charts/chart_dtype_inference_and_loading_speeds_compared.png), [Figure 3](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/blob/dev/assets/charts/chart_dtype_VRAM_footprint_compared.png)). + +### 19.03.2024 * **[PR #7381:](https://github.com/huggingface/diffusers/pull/7381)** * Fixed the bug so we can generate multiple images simultaneously – thx [@DN6](https://github.com/DN6)! 🎉 +### 17.03.2024 + * **[PR #31:](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/commit/e84010c83daa126b10cecae584cb8a4979689528)** * Generated image filenames follow the format: `image_seed-[seed]_identifier-[UUID].png`. * Generation metadata (model, prompt, negative prompt, etc.) is embedded within the PNG files. From 809b5f49e41dfd49d3ceee358e0e799add1cf09b Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Wed, 20 Mar 2024 12:34:43 +0100 Subject: [PATCH 19/23] Update ROADMAP.md Finished "3. Test Decoder Dtype Influence" --- docs/ROADMAP.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md index 94fd272..89bb76b 100644 --- a/docs/ROADMAP.md +++ b/docs/ROADMAP.md @@ -1,11 +1,11 @@ ### Features to Add: -**3. Test Decoder Dtype Influence** +**3. Test Decoder Dtype Influence** ✔️ * **`torch.bfloat16` vs. `torch.float16`:** - - [ ] VRAM footprint - - [ ] Inference speed - - [ ] Image quality + - [x] VRAM footprint + - [x] Inference speed + - [x] Image quality **2. Batch Size Fix (>1)** ✔️ From d4fffdebc57618faee9e01d931d6d4846a78e164 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Wed, 20 Mar 2024 12:37:33 +0100 Subject: [PATCH 20/23] Update requirements.txt Updated diffusers requirement, since fixing batch sizes necessitated --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 0f736ed..34c5551 100644 --- a/requirements.txt +++ b/requirements.txt @@ -11,7 +11,7 @@ --find-links https://download.pytorch.org/whl/torch_stable.html accelerate>=0.25.0 -diffusers==0.27.0 +diffusers==0.27.2 einops>=0.7.0 gradio kornia>=0.7.0 From 54be31bfa85d83ef3ea1d980cd0716eaf02acab0 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Wed, 20 Mar 2024 13:26:31 +0100 Subject: [PATCH 21/23] Update run.py Added `use_safetensors=True` to ensure safetensors format is used over bin --- run.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/run.py b/run.py index a891731..5a4dd82 100644 --- a/run.py +++ b/run.py @@ -24,9 +24,9 @@ def load_model(model_name): # Load model from disk every time it's needed if model_name == "prior": - model = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", variant="bf16", torch_dtype=dtype).to(device) + model = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", variant="bf16", torch_dtype=dtype, use_safetensors=True).to(device) elif model_name == "decoder": - model = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=dtype).to(device) + model = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=dtype, use_safetensors=True).to(device) else: raise ValueError(f"Unknown model name: {model_name}") return model From d3a41428c8a27b49a867d1dd371e8e2154dcd175 Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Wed, 20 Mar 2024 18:40:06 +0100 Subject: [PATCH 22/23] Update run.py Set guidance_scale (decoder) to 1.9 and num_inference_steps to 54 for the best image quality. --- run.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/run.py b/run.py index 5a4dd82..167406a 100644 --- a/run.py +++ b/run.py @@ -6,7 +6,7 @@ # Stability AI Non-Commercial Research Community License Agreement, dated November 28, 2023. # For more information, see https://stability.ai/use-policy. -from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline +from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline, StableCascadeUNet import gradio as gr import json import os @@ -87,7 +87,7 @@ def generate_images(prompt, height, width, negative_prompt, guidance_scale, num_ image_embeddings=prior_output.image_embeddings.to(dtype), prompt=cleaned_prompt, negative_prompt=negative_prompt, - guidance_scale=1.1, # Guidance scale is enabled by setting guidance_scale > 1 + guidance_scale=1.9, # Guidance scale is enabled by setting guidance_scale > 1 num_inference_steps=calculated_steps_decoder, output_type="pil", generator=generator, @@ -187,7 +187,7 @@ def configure_ui(): height = gr.Slider(minimum=512, maximum=2048, step=1, value=1024, label="Image Height") with gr.Column(): # components in central column - num_inference_steps = gr.Slider(minimum=1, maximum=150, step=1, value=30, label="Steps") + num_inference_steps = gr.Slider(minimum=1, maximum=150, step=1, value=54, label="Steps") num_images_per_prompt = gr.Number(label="Number of Images per Prompt", value=2) with gr.Column(): # components in right column From be4c541cf80c0010fce10a447f504fddc9df5aac Mon Sep 17 00:00:00 2001 From: EtienneDosSantos <130935112+EtienneDosSantos@users.noreply.github.com> Date: Wed, 20 Mar 2024 18:43:36 +0100 Subject: [PATCH 23/23] Update CHANGELOG.md --- docs/CHANGELOG.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md index 0b8db63..1c3ab70 100644 --- a/docs/CHANGELOG.md +++ b/docs/CHANGELOG.md @@ -1,5 +1,6 @@ ### 20.03.2024 +* Set guidance_scale (decoder) to 1.9 and num_inference_steps to 54 for optimal image quality. * **Key finding:** Using torch.bfloat16 for the decoder significantly increased model loading speed (3.24x faster) compared to torch.float16. "Other performance metrics remained virtually unchanged, and surprisingly, there was no perceptible difference in image quality (see [Figure 1](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/blob/dev/assets/dtype_comparison_two_images.jpg)). * **Charts:** I've created two charts visualizing these results (see [Figure 2](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/blob/dev/assets/charts/chart_dtype_inference_and_loading_speeds_compared.png), [Figure 3](https://github.com/EtienneDosSantos/stable-cascade-one-click-installer/blob/dev/assets/charts/chart_dtype_VRAM_footprint_compared.png)).