Trying hard, and failing, to get Text2Image working in Linux

Author: ChrisMaunder

modulesettings.json

@@ -155,38 +155,6 @@
             }
           ]
         }
-/*
-        ,{
-          "Name": "Get Long Process Status",
-          "Route": "text2image/get_command_status",
-          "Method": "POST",
-          "Command": "get_command_status",
-          "MeshEnabled": false,
-          "Description": "Gets the status of a long running command.",
-          "Inputs": [
-            {
-              "Name": "command_id",
-              "Type": "Text",
-              "Description": "The id of the command to get the result for."
-            }
-          ]
-        },
-        {
-          "Name": "Get Long Process Status",
-          "Route": "text2image/cancel_command",
-          "Method": "POST",
-          "Command": "cancel_command",
-          "MeshEnabled": false,
-          "Description": "Cancels a long running command.",
-          "Inputs": [
-            {
-              "Name": "command_id",
-              "Type": "Text",
-              "Description": "The id of the command to be cancelled."
-            }
-          ]
-        }
-        */
       ]
     }
   }

requirements.linux.txt

@@ -0,0 +1,25 @@
+#! Python3.9
+
+--extra-index-url https://download.pytorch.org/whl/cpu
+torch==2.1.2+cpu                # Installing PyTorch, for Tensor computation and Deep neural networks
+
+# https://github.com/huggingface/alignment-handbook/issues/94
+# huggingface_hub>=0.19.2
+
+# "tokenizers>=0.11.1,!=0.11.3,<0.14 is required for a normal functioning of this module" https://stackoverflow.com/a/77702552
+# Except this fails.
+tokenizers>=0.11.1,!=0.11.3,<0.14 
+
+# transformers                  # Installing transformers for State-of-the-art machine Learning for JAX, PyTorch and TensorFlow
+# Solves: module 'torch.utils._pytree' has no attribute 'register_pytree_node' https://stackoverflow.com/a/78416003
+transformers==4.28.0            # Installing transformers for State-of-the-art machine Learning for JAX, PyTorch and TensorFlow
+
+# https://pypi.org/project/optimum/
+# optimum[openvino, nncf]       # Installing Optimum to allow OpenVINO and the Neural Network Compression Framework integration
+# optimum[openvino]             # Installing Optimum to allow OpenVINO integration
+optimum[intel]                  # Installing Optimum to make the model happy
+diffusers[torch]                # Installing Diffusers for state-of-the-art diffusion in PyTorch and JAX.
+
+CodeProject-AI-SDK              # Installing the CodeProject.AI SDK
+
+# last line empty.

requirements.txt

@@ -10,6 +10,6 @@ optimum[openvino]               # Installing Optimum to allow OpenVINO integrati
 diffusers[torch]                # Installing Diffusers for state-of-the-art diffusion in PyTorch and JAX.
 transformers                    # Installing transformers for State-of-the-art machine Learning for JAX, PyTorch and TensorFlow
 
-CodeProject-AI-SDK          # Installing the CodeProject.AI SDK
+CodeProject-AI-SDK              # Installing the CodeProject.AI SDK
 
-# last line empty.
+# last line empty. 

stable_diffusion_adapter.py

@@ -2,6 +2,10 @@
 import time
 from typing import Dict
 
+# SetupTools replaces DistUtils, but if a package imports distutils before 
+# setuptools then setuptools will chuck a wobbly. This is a prophylactic.
+import setuptools
+
 # Import CodeProject.AI SDK
 from codeproject_ai_sdk import RequestData, ModuleOptions, ModuleRunner, JSON
 
@@ -230,7 +234,7 @@ def image_create_callback_cpu(self, step, tensor, latents):
         if not (self.current_step % self.skip_image_updates):
             """
             try:
-                # Note even ChatGPT can work out how to convert latents to images
+                # Not even ChatGPT can work out how to convert latents to images
                 # for a OVStableDiffusionPipeline object
                 from PIL import Image
                 images = self.pipeline.generate_images(latents)