shorter names in json schema (neg/pre/postPrompt)
parent
c284fa24e5
commit
14b2f4edaa
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@ -100,9 +100,9 @@ def putPrompts(files):
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data = readJsonPrompt(file_contents,False)
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return [
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gr.Textbox.update(data["commonPromptPrefix"]),
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gr.Textbox.update(data["prePrompt"]),
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gr.DataFrame.update(data["prompts"]),
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gr.Textbox.update(data["commonPromptSuffix"]),
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gr.Textbox.update(data["postPromt"]),
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gr.Textbox.update(data["negPrompt"])
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]
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@ -7,40 +7,21 @@ from .static_variables import (
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jsonprompt_schemafile
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)
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"""
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json is valid, but not our current schema.
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lets try something.
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does it look like something usable?
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def fixJson(j):
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fixedJ = empty_prompt
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try:
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if isinstance(j, dict):
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if "prompts" in j:
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if "data" in j["prompts"]:
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if isinstance (j["prompts"]["data"],list):
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fixedJ["prompts"]["data"] = j["prompts"]["data"]
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if not isinstance (fixedJ["prompts"]["data"][0].
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if "headers" not in j["prompts"]:
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fixedJ["prompts"]["headers"] = ["outpaint steps","prompt"]
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else:
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fixedJ["prompts"]["headers"] = j["prompts"]["headers"]
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if "negPrompt" in j:
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fixedJ["prompts"]["headers"]
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if "commonPrompt" in j:
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return j
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except Exception:
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raise "JsonFix: Failed on recovering json prompt"
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return j
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"""
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def fixHeaders(j):
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def completeOptionals(j):
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if isinstance(j, dict):
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if "prompts" in j:
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if "headers" not in j["prompts"]:
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j["prompts"]["headers"] = ["outpaint steps","prompt"]
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if "negPrompt" not in j:
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j["prompts"]["negPrompt"]=""
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if "prePrompt" not in j:
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j["prompts"]["prePrompt"]=""
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if "postPrompt" not in j:
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j["prompts"]["postPrompt"]=""
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return j
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@ -49,11 +30,12 @@ def validatePromptJson_throws(data):
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schema = json.load(s)
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try:
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validate(instance=data, schema=schema)
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except Exception:
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raise "Your prompts are not schema valid."
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#fixJson(data)
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return fixHeaders(data)
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return completeOptionals(data)
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def readJsonPrompt(txt, returnFailPrompt=False):
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@ -47,17 +47,14 @@
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"negPrompt": {
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"type": "string"
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},
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"commonPromptPrefix": {
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"prePrompt": {
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"type": "string"
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},
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"commonPromptSuffix": {
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"postPrompt": {
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"type": "string"
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}
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},
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"required": [
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"prompts",
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"negPrompt",
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"commonPromptPrefix",
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"commonPromptSuffix"
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"prompts"
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]
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}
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@ -4,20 +4,20 @@ import modules.sd_samplers
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default_prompt = """
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{
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"commonPromptPrefix":"<lora:epiNoiseoffset_v2:0.6> ",
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"prePrompt":"<lora:epiNoiseoffset_v2:0.6> ",
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"prompts":{
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"headers":["outpaint steps","prompt","img"],
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"data":[
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[0,"Huge spectacular Waterfall in a dense tropical forest,epic perspective,(vegetation overgrowth:1.3)(intricate, ornamentation:1.1),(baroque:1.1), fantasy, (realistic:1) digital painting , (magical,mystical:1.2) , (wide angle shot:1.4), (landscape composed:1.2)(medieval:1.1), divine,cinematic,(tropical forest:1.4),(river:1.3)mythology,india, volumetric lighting, Hindu ,epic"]
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]
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},
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"commonPromptSuffix":"style by Alex Horley Wenjun Lin greg rutkowski Ruan Jia (Wayne Barlowe:1.2)",
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"postPrompt":"style by Alex Horley Wenjun Lin greg rutkowski Ruan Jia (Wayne Barlowe:1.2)",
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"negPrompt":"frames, border, edges, borderline, text, character, duplicate, error, out of frame, watermark, low quality, ugly, deformed, blur, bad-artist"
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}
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"""
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empty_prompt = (
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'{"prompts":{"data":[],"headers":["outpaint steps","prompt"]},"negPrompt":"", commonPromptPrefix:"", commonPromptSuffix}'
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'{"prompts":{"data":[],"headers":["outpaint steps","prompt"]},"negPrompt":"", prePrompt:"", postPrompt:""}'
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)
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invalid_prompt = {
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@ -26,8 +26,8 @@ invalid_prompt = {
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"headers": ["outpaint steps", "prompt"],
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},
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"negPrompt": "Invalid prompt-json",
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"commonPromptPrefix": "Invalid prompt",
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"commonPromptSuffix": "Invalid prompt"
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"prePromp": "Invalid prompt",
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"postPrompt": "Invalid prompt"
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}
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available_samplers = [
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@ -1,7 +1,5 @@
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from modules import script_callbacks
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from iz_helpers.ui import on_ui_tabs
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from iz_helpers.settings import on_ui_settings
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script_callbacks.on_ui_tabs(on_ui_tabs)
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script_callbacks.on_ui_settings(on_ui_settings)
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