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spaghetti_ai.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6665e5f0fe2b256e3c5e021b0807e757400a1f807e4b369a5c42655b254cfa40
-size 86301
+oid sha256:6010b8e71b9f3c0f1a1a6ce1694f1c242f25e9e9fbd4e1955d187cd8211b9277
+size 86416

spaghetti_ai_launcher.bat

@@ -28,7 +28,7 @@ REM        automatically. That means your drive would eventually run out of
 REM        space if you never deleted older versions.
 REM
 
-set HF_HUB_OFFLINE=1
+set HF_HUB_OFFLINE=0
 
 REM
 REM      HF_HUB_DISABLE_TELEMETRY

spaghetti_ai_script.py

@@ -815,7 +815,7 @@ if device == "cpu":
 
     if script_being_run_on_hugging_face == 1:
 
-        opening_html = "<span style=\"font-weight: bold; color: #c00;\">This app is extremely slow and sometimes doesn't work. Do not use the refiner or upscaler. They are not working in the online version.</span> This app is not running on a GPU. The first time it loads after the space is rebuilt it might take 10 minutes to generate a SDXL Turbo image. It may take around 3 minutes after that point to do two steps. For other models, it may take an hour to create a single image. Want apps that work fast? Use these which this app is based on: <a href=\"https://huggingface.co/spaces/Manjushri/SDXL-1.0\" target=\"_blank\">Stable Diffusion XL</a>, <a href=\"https://huggingface.co/spaces/Manjushri/PhotoReal-V3.7.5\" target=\"_blank\">PhotoReal with SDXL 1.0 Refiner</a> and <a href=\"https://huggingface.co/spaces/diffusers/unofficial-SDXL-Turbo-i2i-t2i\" target=\"_blank\">SDXL Turbo Unofficial Demo</a>. This app is designed to give more options, but it's too slow to operate and test on a CPU. There are some features that are either not available, or more limited, in the online version of this app. (such as smaller allowed image dimensions and less steps allowed)"
+        opening_html = "<span style=\"font-weight: bold; color: #c00;\">This app is extremely slow.</span> This app is not running on a GPU. The first time it loads after the space is rebuilt it might take 10 minutes to generate a SDXL Turbo image. It may take around 3 minutes after that point to do two steps. (with no refining or upscaling) For other models, it may take an hour to create a single image. Want apps that work fast? Use these which this app is based on: <a href=\"https://huggingface.co/spaces/Manjushri/SDXL-1.0\" target=\"_blank\">Stable Diffusion XL</a>, <a href=\"https://huggingface.co/spaces/Manjushri/PhotoReal-V3.7.5\" target=\"_blank\">PhotoReal with SDXL 1.0 Refiner</a> and <a href=\"https://huggingface.co/spaces/diffusers/unofficial-SDXL-Turbo-i2i-t2i\" target=\"_blank\">SDXL Turbo Unofficial Demo</a>. This app is designed to give more options, but it's too slow to operate and test on a CPU. There are some features that are either not available, or more limited, in the online version of this app. (such as smaller allowed image dimensions and less steps allowed) This app is still in development. Next will be the ability to create a <a href=\"https://huggingface.co/spaces/magicfixeseverything/ai_image_creation?model=sdxl_turbo&model_config=sdxl_default&scheduler=model_default&width=768&height=768&guidance=7.5&steps=2&add_seed=1&refiner=no&upscaler=no&prompt=cat&neg_prompt=dog&seed=3648905360627576\" target=\"_blank\">link like this</a>."
 
     else:
 
@@ -892,6 +892,10 @@ if script_being_run_on_hugging_face == 1:
 
         minimum_refiner_denoise_start = 0.70
 
+        maximum_upscaler_steps = 15
+        default_upscaler_steps = 10
+
+
     ending_html = """
 If you would like to download this app to run offline on a Windows computer that has a NVIDIA graphics card, click <a href=\"https://huggingface.co/spaces/magicfixeseverything/ai_image_creation/resolve/main/spaghetti_ai.zip\">here</a> to download it.
 
@@ -3134,7 +3138,7 @@ def create_image_function (
                     desc = "Refining is beginning"
                 )
 
-            current_actual_total_refiner_steps = (refining_steps_for_sdxl_online_config_field_value - (int(int(refining_steps_for_sdxl_online_config_field_value) * float(high_noise_frac))))
+            current_actual_total_refiner_steps = (refining_steps_for_sdxl_online_config_field_value - round(refining_steps_for_sdxl_online_config_field_value * refining_denoise_start_for_online_config_field_value))
 
             nice_refiner_denoise_start = str(refining_denoise_start_for_online_config_field_value)
 
@@ -3246,7 +3250,7 @@ def create_image_function (
 
                 default_steps_in_diffusers = 50
 
-                current_actual_total_refiner_steps = (default_steps_in_diffusers - (int(default_steps_in_diffusers * float(high_noise_frac))))
+                current_actual_total_refiner_steps = (default_steps_in_diffusers - round(default_steps_in_diffusers * refining_denoise_start_for_online_config_field_value))
 
                 refiner_info_for_info_about_prompt_lines_array = [
                     "Refiner? Yes",
@@ -3316,7 +3320,7 @@ def create_image_function (
 
                 denoising_end = refining_denoise_start_for_default_config_field_value
 
-                current_actual_total_base_model_steps = int(base_model_num_inference_steps * float(refining_denoise_start_for_default_config_field_value))
+                current_actual_total_base_model_steps = round(base_model_num_inference_steps * refining_denoise_start_for_default_config_field_value)
 
             else:
 
@@ -3328,7 +3332,7 @@ def create_image_function (
 
                 output_type_before_refiner = "latent"
 
-            current_actual_total_refiner_steps = (base_model_num_inference_steps - int(base_model_num_inference_steps * float(refining_denoise_start_for_default_config_field_value)))
+            current_actual_total_refiner_steps = (base_model_num_inference_steps - round(base_model_num_inference_steps * refining_denoise_start_for_default_config_field_value))
 
             refiner_info_for_info_about_prompt_lines_array = [
                 "Refiner? Yes"
@@ -3470,6 +3474,10 @@ def create_image_function (
                     callback_on_step_end = callback_to_do_for_base_model_progress
                 ).images
 
+
+                print ("b")
+
+
                 if show_messages_in_command_prompt == 1:
 
                     print ("Refiner steps...");