Merge pull request #75 from v8hid/validate_table_on_generate

Validate table on generate

iz_helpers/prompt_util.py

@@ -9,9 +9,10 @@ from .static_variables import (
 
 def completeOptionals(j):
     if isinstance(j, dict):
+        # Remove header information, user dont pimp our ui
         if "prompts" in j:
-            if "headers" not in j["prompts"]:
-                j["prompts"]["headers"] = ["outpaint steps","prompt"]
+            if "headers" in j["prompts"]:
+                del j["prompts"]["headers"]
         
         if "negPrompt" not in j:
             j["negPrompt"]=""
@@ -32,8 +33,7 @@ def validatePromptJson_throws(data):
         validate(instance=data, schema=schema)
        
     except Exception:
-        raise "Your prompts are not schema valid."
-        #fixJson(data)
+        raise Exception("Your prompts are not schema valid.")
 
     return completeOptionals(data)
 

iz_helpers/ui.py

@@ -42,7 +42,7 @@ def on_ui_tabs():
                             maximum=100,
                             step=1,
                             value=8,
-                            label="Total Outpaint Steps",
+                            label="Total video length [s]",
                         )
 
                     # safe reading json prompt
@@ -55,7 +55,7 @@ def on_ui_tabs():
 
                     main_prompts = gr.Dataframe(
                         type="array",
-                        headers=["outpaint step", "prompt"],
+                        headers=["Start at second [0,1,...]", "Prompt"],
                         datatype=["number", "str"],
                         row_count=1,
                         col_count=(2, "fixed"),
@@ -255,6 +255,7 @@ Our best experience and trade-off is the R-ERSGAn4x upscaler.
                 ) = create_output_panel(
                     "infinite-zoom", shared.opts.outdir_img2img_samples
                 )
+                
         generate_btn.click(
             fn=wrap_gradio_gpu_call(create_zoom, extra_outputs=[None, "", ""]),
             inputs=[
@@ -288,6 +289,17 @@ Our best experience and trade-off is the R-ERSGAn4x upscaler.
             ],
             outputs=[output_video, out_image, generation_info, html_info, html_log],
         )
-        interrupt.click(fn=lambda: shared.state.interrupt(), inputs=[], outputs=[])
+        
+        main_prompts.change(fn=checkPrompts,inputs=[main_prompts], outputs=[generate_btn])
+        
+        interrupt.click(fn=shared.state.interrupt(), inputs=[], outputs=[])
     infinite_zoom_interface.queue()
     return [(infinite_zoom_interface, "Infinite Zoom", "iz_interface")]
+
+def checkPrompts(p):
+    return gr.Button.update(
+        interactive=
+        any(0 in sublist for sublist in p) 
+        or 
+        any('0' in sublist for sublist in p) 
+    )

javascript/infinite-zoom-hints.js

@@ -2,7 +2,7 @@
 
 infzoom_titles = {
     "Batch Count":"How many separate videos to create",
-    "Total Outpaint Steps":"The more it is, the longer your videos will be. Each step generates frame for 1 second at your FPS, while cycling through your array of prompts",
+    "Total video length [s]":"For each seconds frame (FPS) will be generated. Define prompts at which time they should start wihtin this duration.",
     "Common Prompt Prefix":"Prompt inserted before each step",
     "Common Prompt Suffix":"Prompt inserted after each step",
     "Negative Prompt":"What your model shall avoid",
@@ -12,9 +12,8 @@ infzoom_titles = {
     "Custom initial image":"An image at the end resp. begin of your movie, depending or ZoomIn or Out",
     "Custom exit image":"An image at the end resp. begin of your movie, depending or ZoomIn or Out",
     "Zoom Speed":"Varies additional frames per second",
-    
-
-
+    "Start at second [0,1,...]": "At which time the prompt has to be occure. We need at least one prompt starting at time 0",
+	"Generate video": "Start rendering. If it´s disabled the prompt table is invalid, check we have a start prompt at time 0"
 }