fix: crashing when lora trigger is used (#120)

feat: adding generation metadata to the save
fix: avoid clobbering batched images on save

StableHordeClient.gd

@@ -372,7 +372,8 @@ func _get_test_images(n = 10) -> Array:
 			"none",
 			img,
 			'Test Image ID',
-			"Test Request ID")
+			"Test Request ID",
+			[])
 		new_texture.create_from_image(img)
 		test_array.append(new_texture)
 	return(test_array)

addons/stable_horde_client/AIImageTexture.gd

@@ -2,7 +2,7 @@
 class_name AIImageTexture
 extends ImageTexture
 
-const FILENAME_TEMPLATE := "{timestamp}_{gen_seed}"
+const FILENAME_TEMPLATE := "{timestamp}_{gen_seed}{batch_id}"
 const DIRECTORY_TEMPLATE := "{sampler_name}_{steps}_{prompt}"
 
 # The prompt which generated this image
@@ -32,6 +32,7 @@ var timestamp: float
 var image_horde_id: String
 var control_type: String
 var request_id: String
+var gen_metadata: Array
 
 func _init(
 		_prompt: String, 
@@ -44,7 +45,9 @@ func _init(
 		_control_type: String,
 		_image: Image,
 		_image_horde_id: String,
-		_request_id: String) -> void:
+		_request_id: String,
+		_gen_metadata: Array
+	) -> void:
 	._init()
 	prompt = _prompt
 	attributes = _imgen_params.duplicate(true)
@@ -68,6 +71,8 @@ func _init(
 	timestamp = _timestamp
 	request_id = _request_id
 	attributes['request_id'] = _request_id
+	gen_metadata = _gen_metadata
+	attributes['gen_metadata'] = _gen_metadata
 
 # This can be used to provide metadata for the source image in img2img requests
 func set_source_image_path(image_path: String) -> void:
@@ -78,7 +83,10 @@ func get_filename() -> String:
 	var fmt := {
 		"timestamp": timestamp,
 		"gen_seed": gen_seed,
+		"batch_id": '',
 	}
+	if _get_batch_id() != '':
+		 fmt["batch_id"] = "_" + _get_batch_id()
 	var filename = sanitize_filename(FILENAME_TEMPLATE.format(fmt)).substr(0,100)
 	return(filename)
 
@@ -155,3 +163,9 @@ static func sanitize_filename(filename: String) -> String:
 	for c in replace_chars:
 		filename = filename.replace(c,'_')
 	return(filename)
+
+func _get_batch_id() -> String:
+	for meta in gen_metadata:
+		if meta["type"] == "batch_index":
+			return meta["ref"]
+	return ""

addons/stable_horde_client/stable_horde_client.gd

@@ -291,7 +291,9 @@ func prepare_aitexture(imgbuffer: PoolByteArray, img_dict: Dictionary, timestamp
 		control_type,
 		image,
 		img_dict["id"],
-		async_request_id)
+		async_request_id,
+		img_dict.get("gen_metadata", [])
+	)
 	texture.create_from_image(image)
 	latest_image_textures.append(texture)
 	# Avoid keeping all images in RAM. Until I find a reason for it.

src/Lora/Lora.gd

@@ -255,7 +255,8 @@ func update_selected_loras_label() -> void:
 
 func _on_lora_trigger_pressed(index: int) -> void:
 	var version_id: String = selected_loras_list[index]["id"]
-	var lora_reference := lora_reference_node.get_lora_info(version_id)
+	var is_version: bool = selected_loras_list[index]["is_version"]
+	var lora_reference := lora_reference_node.get_lora_info(version_id, is_version)
 	var selected_triggers: Array = []
 	if lora_reference['versions'][version_id]['triggers'].size() == 1:
 		selected_triggers = [lora_reference['versions'][version_id]['triggers'][0]]

src/ParamBus.gd

@@ -305,10 +305,8 @@ func _on_listnode_changed(_thing_list: Array, thing_node: Node) -> void:
 	emit_signal("params_changed")
 
 func is_lcm_payload() -> bool:
-	print_debug('www')
 	if loras_node.has_lcm_loras():
 		return true
-	print_debug(sampler_name_node.get_item_text(sampler_name_node.selected))
 	if sampler_name_node.get_item_text(sampler_name_node.selected) == 'lcm':
 		return true
 	return false