fix: support SDXL loras

LucidCreations.tscn

@@ -1137,7 +1137,7 @@ margin_top = 218.0
 margin_right = 300.0
 margin_bottom = 246.0
 text = "k_lms"
-items = [ "k_lms", null, false, 0, null, "k_heun", null, false, 1, null, "k_euler", null, false, 2, null, "k_euler_a", null, false, 3, null, "k_dpm_2", null, false, 4, null, "k_dpm_2_a", null, false, 5, null, "k_dpm_fast", null, false, 6, null, "k_dpm_adaptive", null, false, 7, null, "k_dpmpp_2s_a", null, false, 8, null, "k_dpmpp_2m", null, false, 9, null, "dpmsolver", null, false, 10, null ]
+items = [ "k_lms", null, false, 0, null, "k_heun", null, false, 1, null, "k_euler", null, false, 2, null, "k_euler_a", null, false, 3, null, "k_dpm_2", null, false, 4, null, "k_dpm_2_a", null, false, 5, null, "k_dpm_fast", null, false, 6, null, "k_dpm_adaptive", null, false, 7, null, "k_dpmpp_2s_a", null, false, 8, null, "k_dpmpp_2m", null, false, 9, null, "dpmsolver", null, false, 10, null, "k_dpmpp_sde", null, false, 11, null ]
 selected = 0
 
 [node name="SeedLabel" type="Label" parent="Margin/Panel/Display/Panels/Controls/Advanced"]

addons/stable_horde_client/AIImageTexture.gd

@@ -150,5 +150,4 @@ static func sanitize_filename(filename: String) -> String:
 	]
 	for c in replace_chars:
 		filename = filename.replace(c,'_')
-	print_debug(filename)
 	return(filename)

addons/stable_horde_client/civitai_lora_model_fetch.gd

@@ -107,8 +107,8 @@ func _parse_civitai_lora_data(civitai_entry) -> Dictionary:
 		lora_details["unusable"] = 'Attention! This LoRa is unusable because it does not provide file validation.'
 	elif not lora_details["url"]:
 		lora_details["unusable"] = 'Attention! This LoRa is unusable because it appears to have no valid safetensors upload.'
-	elif not is_default and lora_details["size_mb"] > 150:
-		lora_details["unusable"] = 'Attention! This LoRa is unusable because is exceeds the max 150Mb filesize we allow on the AI Horde.'
+	elif not is_default and lora_details["size_mb"] > 230:
+		lora_details["unusable"] = 'Attention! This LoRa is unusable because is exceeds the max 230Mb filesize we allow on the AI Horde.'
 	lora_details["images"] = []
 	for img in versions[0]["images"]:
 		if img["nsfw"] in ["Mature", "X"]:

addons/stable_horde_client/civitai_lora_reference.gd

@@ -226,8 +226,8 @@ func _parse_civitai_lora_data(civitai_entry) -> Dictionary:
 		lora_details["unusable"] = 'Attention! This LoRa is unusable because it does not provide file validation.'
 	elif not lora_details["url"]:
 		lora_details["unusable"] = 'Attention! This LoRa is unusable because it appears to have no valid safetensors upload.'
-	elif lora_details["size_mb"] > 150:
-		lora_details["unusable"] = 'Attention! This LoRa is unusable because is exceeds the max 150Mb filesize we allow on the AI Horde.'
+	elif lora_details["size_mb"] > 230:
+		lora_details["unusable"] = 'Attention! This LoRa is unusable because is exceeds the max 230Mb filesize we allow on the AI Horde.'
 	lora_details["images"] = []
 	for img in versions[0]["images"]:
 		if img["nsfw"] in ["Mature", "X"]:

addons/stable_horde_client/civitai_ti_model_fetch.gd

@@ -105,8 +105,8 @@ func _parse_civitai_ti_data(civitai_entry) -> Dictionary:
 		ti_details["unusable"] = 'Attention! This Textual Inversion is unusable because it does not provide file validation.'
 	elif not ti_details["url"]:
 		ti_details["unusable"] = 'Attention! This Textual Inversion is unusable because it appears to have no valid safetensors upload.'
-	elif not is_default and ti_details["size_mb"] > 150:
-		ti_details["unusable"] = 'Attention! This Textual Inversion is unusable because is exceeds the max 150Mb filesize we allow on the AI Horde.'
+	elif not is_default and ti_details["size_mb"] > 230:
+		ti_details["unusable"] = 'Attention! This Textual Inversion is unusable because is exceeds the max 230Mb filesize we allow on the AI Horde.'
 	ti_details["images"] = []
 	for img in versions[0]["images"]:
 		if img["nsfw"] in ["Mature", "X"]:

addons/stable_horde_client/civitai_ti_reference.gd

@@ -198,8 +198,8 @@ func _parse_civitai_ti_data(civitai_entry) -> Dictionary:
 		ti_details["unusable"] = 'Attention! This Textual Inversion is unusable because it does not provide file validation.'
 	elif not ti_details["url"]:
 		ti_details["unusable"] = 'Attention! This Textual Inversion is unusable because it appears to have no valid safetensors upload.'
-	elif ti_details["size_mb"] > 150:
-		ti_details["unusable"] = 'Attention! This Textual Inversion is unusable because is exceeds the max 150Mb filesize we allow on the AI Horde.'
+	elif ti_details["size_mb"] > 230:
+		ti_details["unusable"] = 'Attention! This Textual Inversion is unusable because is exceeds the max 230Mb filesize we allow on the AI Horde.'
 	ti_details["images"] = []
 	for img in versions[0]["images"]:
 		if img["nsfw"] in ["Mature", "X"]:

addons/stable_horde_client/stable_horde_client.gd

@@ -16,6 +16,7 @@ enum SamplerMethods {
 	k_dpm_adaptive
 	k_dpmpp_2s_a
 	k_dpmpp_2m
+	k_dpmpp_sde
 	dpmsolver
 }
 
@@ -55,7 +56,7 @@ export(int,64,1024,64) var height := 512
 # Generally there's usually no reason to go above 50 unless you know what you're doing.
 export(int,1,100) var steps := 30
 # Advanced: The sampler used to generate. Provides slight variations on the same prompt.
-export(String, "k_lms", "k_heun", "k_euler", "k_euler_a", "k_dpm_2", "k_dpm_2_a", "k_dpm_fast", "k_dpm_adaptive", "k_dpmpp_2s_a", "k_dpmpp_2m", "dpmsolver") var sampler_name := "k_euler_a"
+export(String, "k_lms", "k_heun", "k_euler", "k_euler_a", "k_dpm_2", "k_dpm_2_a", "k_dpm_fast", "k_dpm_adaptive", "k_dpmpp_2s_a", "k_dpmpp_2m", "k_dpmpp_sde", "dpmsolver") var sampler_name := "k_euler_a"
 # How closely to follow the prompt given
 export(float,0,30,0.5) var cfg_scale := 7.5
 # The number of CLIP language processor layers to skip.
@@ -150,7 +151,10 @@ func generate(replacement_prompt := '', replacement_params := {}) -> void:
 		"r2": r2,
 		"shared": shared,
 		"dry_run": dry_run,
-#		"workers": ["dc0704ab-5b42-4c65-8471-561be16ad696"], # debug
+		"workers": [
+			"ba9937fb-8558-4d42-9059-926de5f0fe4e", #pama
+			"dc0704ab-5b42-4c65-8471-561be16ad696", #portal
+		], # debug
 	}
 #	print_debug(submit_dict)
 	if source_image:

src/Lora/Lora.gd

@@ -271,6 +271,7 @@ func check_baseline_compatibility(lora_name) -> int:
 	if baselines.size() == 0:
 		return LoraCompatible.MAYBE
 	var lora_to_model_baseline_map = {
+		"SDXL 1.0": "stable_diffusion_xl",
 		"SD 1.5": "stable diffusion 1",
 		"SD 2.1 768": "stable diffusion 2",
 		"SD 2.1 512": "stable diffusion 2",