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This library was generated by https://konfigthis.com
/*
* Leap
* The Official Leap API
*
* The version of the OpenAPI document: 1.0
*
*
* NOTE: This class is auto generated by Konfig (https://konfigthis.com).
* Do not edit the class manually.
*/
package com.konfigthis.leap.client.model;
import java.util.Objects;
import java.util.Arrays;
import com.google.gson.TypeAdapter;
import com.google.gson.annotations.JsonAdapter;
import com.google.gson.annotations.SerializedName;
import com.google.gson.stream.JsonReader;
import com.google.gson.stream.JsonWriter;
import io.swagger.annotations.ApiModel;
import io.swagger.annotations.ApiModelProperty;
import java.io.IOException;
import com.google.gson.Gson;
import com.google.gson.GsonBuilder;
import com.google.gson.JsonArray;
import com.google.gson.JsonDeserializationContext;
import com.google.gson.JsonDeserializer;
import com.google.gson.JsonElement;
import com.google.gson.JsonObject;
import com.google.gson.JsonParseException;
import com.google.gson.TypeAdapterFactory;
import com.google.gson.reflect.TypeToken;
import org.apache.commons.lang3.StringUtils;
import java.lang.reflect.Type;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import com.konfigthis.leap.client.JSON;
/**
* CreateInferenceDto
*/
@javax.annotation.Generated(value = "Generated by https://konfigthis.com")
public class CreateInferenceDto {
public static final String SERIALIZED_NAME_PROMPT = "prompt";
@SerializedName(SERIALIZED_NAME_PROMPT)
private String prompt = "A photo of an astronaut riding a horse";
public static final String SERIALIZED_NAME_NEGATIVE_PROMPT = "negativePrompt";
@SerializedName(SERIALIZED_NAME_NEGATIVE_PROMPT)
private String negativePrompt = "asymmetric, watermarks";
public static final String SERIALIZED_NAME_STEPS = "steps";
@SerializedName(SERIALIZED_NAME_STEPS)
private Double steps = 50d;
public static final String SERIALIZED_NAME_WIDTH = "width";
@SerializedName(SERIALIZED_NAME_WIDTH)
private Double width = 1024d;
public static final String SERIALIZED_NAME_HEIGHT = "height";
@SerializedName(SERIALIZED_NAME_HEIGHT)
private Double height = 1024d;
public static final String SERIALIZED_NAME_NUMBER_OF_IMAGES = "numberOfImages";
@SerializedName(SERIALIZED_NAME_NUMBER_OF_IMAGES)
private Double numberOfImages = 1d;
public static final String SERIALIZED_NAME_PROMPT_STRENGTH = "promptStrength";
@SerializedName(SERIALIZED_NAME_PROMPT_STRENGTH)
private Double promptStrength = 7d;
public static final String SERIALIZED_NAME_SEED = "seed";
@SerializedName(SERIALIZED_NAME_SEED)
private Double seed = 4523184d;
public static final String SERIALIZED_NAME_WEBHOOK_URL = "webhookUrl";
@SerializedName(SERIALIZED_NAME_WEBHOOK_URL)
private String webhookUrl;
public CreateInferenceDto() {
}
public CreateInferenceDto prompt(String prompt) {
this.prompt = prompt;
return this;
}
/**
* A text description of the image you what you want to generate.
* @return prompt
**/
@javax.annotation.Nonnull
@ApiModelProperty(example = "A photo of an astronaut riding a horse", required = true, value = "A text description of the image you what you want to generate.")
public String getPrompt() {
return prompt;
}
public void setPrompt(String prompt) {
this.prompt = prompt;
}
public CreateInferenceDto negativePrompt(String negativePrompt) {
this.negativePrompt = negativePrompt;
return this;
}
/**
* A text description of what the image should try to avoid generating.
* @return negativePrompt
**/
@javax.annotation.Nullable
@ApiModelProperty(example = "asymmetric, bad hands, bad hair", value = "A text description of what the image should try to avoid generating.")
public String getNegativePrompt() {
return negativePrompt;
}
public void setNegativePrompt(String negativePrompt) {
this.negativePrompt = negativePrompt;
}
public CreateInferenceDto steps(Double steps) {
this.steps = steps;
return this;
}
public CreateInferenceDto steps(Integer steps) {
this.steps = steps.doubleValue();
return this;
}
/**
* How many steps the AI will take to generate the image. Lower is faster but less detailed, higher is slower more detailed.
* @return steps
**/
@javax.annotation.Nullable
@ApiModelProperty(example = "50", value = "How many steps the AI will take to generate the image. Lower is faster but less detailed, higher is slower more detailed.")
public Double getSteps() {
return steps;
}
public void setSteps(Double steps) {
this.steps = steps;
}
public CreateInferenceDto width(Double width) {
this.width = width;
return this;
}
public CreateInferenceDto width(Integer width) {
this.width = width.doubleValue();
return this;
}
/**
* The width of the image to use for the inference. Must be a multiple of 8. For best results use 1024x1024 for SDXL, and 512x512 for other models.
* @return width
**/
@javax.annotation.Nullable
@ApiModelProperty(example = "1024", value = "The width of the image to use for the inference. Must be a multiple of 8. For best results use 1024x1024 for SDXL, and 512x512 for other models.")
public Double getWidth() {
return width;
}
public void setWidth(Double width) {
this.width = width;
}
public CreateInferenceDto height(Double height) {
this.height = height;
return this;
}
public CreateInferenceDto height(Integer height) {
this.height = height.doubleValue();
return this;
}
/**
* The height of the image to use for the inference. Must be a multiple of 8. For best results use 1024x1024 for SDXL, and 512x512 for other models.
* @return height
**/
@javax.annotation.Nullable
@ApiModelProperty(example = "1024", value = "The height of the image to use for the inference. Must be a multiple of 8. For best results use 1024x1024 for SDXL, and 512x512 for other models.")
public Double getHeight() {
return height;
}
public void setHeight(Double height) {
this.height = height;
}
public CreateInferenceDto numberOfImages(Double numberOfImages) {
this.numberOfImages = numberOfImages;
return this;
}
public CreateInferenceDto numberOfImages(Integer numberOfImages) {
this.numberOfImages = numberOfImages.doubleValue();
return this;
}
/**
* The number of images to generate, up to 4.
* @return numberOfImages
**/
@javax.annotation.Nullable
@ApiModelProperty(example = "1", value = "The number of images to generate, up to 4.")
public Double getNumberOfImages() {
return numberOfImages;
}
public void setNumberOfImages(Double numberOfImages) {
this.numberOfImages = numberOfImages;
}
public CreateInferenceDto promptStrength(Double promptStrength) {
this.promptStrength = promptStrength;
return this;
}
public CreateInferenceDto promptStrength(Integer promptStrength) {
this.promptStrength = promptStrength.doubleValue();
return this;
}
/**
* The higher the prompt strength, the closer the generated image will be to the prompt. Must be between 0 and 30.
* @return promptStrength
**/
@javax.annotation.Nullable
@ApiModelProperty(example = "7", value = "The higher the prompt strength, the closer the generated image will be to the prompt. Must be between 0 and 30.")
public Double getPromptStrength() {
return promptStrength;
}
public void setPromptStrength(Double promptStrength) {
this.promptStrength = promptStrength;
}
public CreateInferenceDto seed(Double seed) {
this.seed = seed;
return this;
}
public CreateInferenceDto seed(Integer seed) {
this.seed = seed.doubleValue();
return this;
}
/**
* A random number to use as a seed when generating the image. This is helpful if you want to generate the same image multiple times. If you want to generate different images, keep this empty or provide a random number.
* @return seed
**/
@javax.annotation.Nullable
@ApiModelProperty(example = "4523184", value = "A random number to use as a seed when generating the image. This is helpful if you want to generate the same image multiple times. If you want to generate different images, keep this empty or provide a random number.")
public Double getSeed() {
return seed;
}
public void setSeed(Double seed) {
this.seed = seed;
}
public CreateInferenceDto webhookUrl(String webhookUrl) {
this.webhookUrl = webhookUrl;
return this;
}
/**
* An optional webhook URL that will be called with a POST request when the image generation request completes.
* @return webhookUrl
**/
@javax.annotation.Nullable
@ApiModelProperty(value = "An optional webhook URL that will be called with a POST request when the image generation request completes.")
public String getWebhookUrl() {
return webhookUrl;
}
public void setWebhookUrl(String webhookUrl) {
this.webhookUrl = webhookUrl;
}
/**
* A container for additional, undeclared properties.
* This is a holder for any undeclared properties as specified with
* the 'additionalProperties' keyword in the OAS document.
*/
private Map additionalProperties;
/**
* Set the additional (undeclared) property with the specified name and value.
* If the property does not already exist, create it otherwise replace it.
*
* @param key name of the property
* @param value value of the property
* @return the CreateInferenceDto instance itself
*/
public CreateInferenceDto putAdditionalProperty(String key, Object value) {
if (this.additionalProperties == null) {
this.additionalProperties = new HashMap();
}
this.additionalProperties.put(key, value);
return this;
}
/**
* Return the additional (undeclared) property.
*
* @return a map of objects
*/
public Map getAdditionalProperties() {
return additionalProperties;
}
/**
* Return the additional (undeclared) property with the specified name.
*
* @param key name of the property
* @return an object
*/
public Object getAdditionalProperty(String key) {
if (this.additionalProperties == null) {
return null;
}
return this.additionalProperties.get(key);
}
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
CreateInferenceDto createInferenceDto = (CreateInferenceDto) o;
return Objects.equals(this.prompt, createInferenceDto.prompt) &&
Objects.equals(this.negativePrompt, createInferenceDto.negativePrompt) &&
Objects.equals(this.steps, createInferenceDto.steps) &&
Objects.equals(this.width, createInferenceDto.width) &&
Objects.equals(this.height, createInferenceDto.height) &&
Objects.equals(this.numberOfImages, createInferenceDto.numberOfImages) &&
Objects.equals(this.promptStrength, createInferenceDto.promptStrength) &&
Objects.equals(this.seed, createInferenceDto.seed) &&
Objects.equals(this.webhookUrl, createInferenceDto.webhookUrl)&&
Objects.equals(this.additionalProperties, createInferenceDto.additionalProperties);
}
@Override
public int hashCode() {
return Objects.hash(prompt, negativePrompt, steps, width, height, numberOfImages, promptStrength, seed, webhookUrl, additionalProperties);
}
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("class CreateInferenceDto {\n");
sb.append(" prompt: ").append(toIndentedString(prompt)).append("\n");
sb.append(" negativePrompt: ").append(toIndentedString(negativePrompt)).append("\n");
sb.append(" steps: ").append(toIndentedString(steps)).append("\n");
sb.append(" width: ").append(toIndentedString(width)).append("\n");
sb.append(" height: ").append(toIndentedString(height)).append("\n");
sb.append(" numberOfImages: ").append(toIndentedString(numberOfImages)).append("\n");
sb.append(" promptStrength: ").append(toIndentedString(promptStrength)).append("\n");
sb.append(" seed: ").append(toIndentedString(seed)).append("\n");
sb.append(" webhookUrl: ").append(toIndentedString(webhookUrl)).append("\n");
sb.append(" additionalProperties: ").append(toIndentedString(additionalProperties)).append("\n");
sb.append("}");
return sb.toString();
}
/**
* Convert the given object to string with each line indented by 4 spaces
* (except the first line).
*/
private String toIndentedString(Object o) {
if (o == null) {
return "null";
}
return o.toString().replace("\n", "\n ");
}
public static HashSet openapiFields;
public static HashSet openapiRequiredFields;
static {
// a set of all properties/fields (JSON key names)
openapiFields = new HashSet();
openapiFields.add("prompt");
openapiFields.add("negativePrompt");
openapiFields.add("steps");
openapiFields.add("width");
openapiFields.add("height");
openapiFields.add("numberOfImages");
openapiFields.add("promptStrength");
openapiFields.add("seed");
openapiFields.add("webhookUrl");
// a set of required properties/fields (JSON key names)
openapiRequiredFields = new HashSet();
openapiRequiredFields.add("prompt");
}
/**
* Validates the JSON Object and throws an exception if issues found
*
* @param jsonObj JSON Object
* @throws IOException if the JSON Object is invalid with respect to CreateInferenceDto
*/
public static void validateJsonObject(JsonObject jsonObj) throws IOException {
if (jsonObj == null) {
if (!CreateInferenceDto.openapiRequiredFields.isEmpty()) { // has required fields but JSON object is null
throw new IllegalArgumentException(String.format("The required field(s) %s in CreateInferenceDto is not found in the empty JSON string", CreateInferenceDto.openapiRequiredFields.toString()));
}
}
// check to make sure all required properties/fields are present in the JSON string
for (String requiredField : CreateInferenceDto.openapiRequiredFields) {
if (jsonObj.get(requiredField) == null) {
throw new IllegalArgumentException(String.format("The required field `%s` is not found in the JSON string: %s", requiredField, jsonObj.toString()));
}
}
if (!jsonObj.get("prompt").isJsonPrimitive()) {
throw new IllegalArgumentException(String.format("Expected the field `prompt` to be a primitive type in the JSON string but got `%s`", jsonObj.get("prompt").toString()));
}
if ((jsonObj.get("negativePrompt") != null && !jsonObj.get("negativePrompt").isJsonNull()) && !jsonObj.get("negativePrompt").isJsonPrimitive()) {
throw new IllegalArgumentException(String.format("Expected the field `negativePrompt` to be a primitive type in the JSON string but got `%s`", jsonObj.get("negativePrompt").toString()));
}
if ((jsonObj.get("webhookUrl") != null && !jsonObj.get("webhookUrl").isJsonNull()) && !jsonObj.get("webhookUrl").isJsonPrimitive()) {
throw new IllegalArgumentException(String.format("Expected the field `webhookUrl` to be a primitive type in the JSON string but got `%s`", jsonObj.get("webhookUrl").toString()));
}
}
public static class CustomTypeAdapterFactory implements TypeAdapterFactory {
@SuppressWarnings("unchecked")
@Override
public TypeAdapter create(Gson gson, TypeToken type) {
if (!CreateInferenceDto.class.isAssignableFrom(type.getRawType())) {
return null; // this class only serializes 'CreateInferenceDto' and its subtypes
}
final TypeAdapter elementAdapter = gson.getAdapter(JsonElement.class);
final TypeAdapter thisAdapter
= gson.getDelegateAdapter(this, TypeToken.get(CreateInferenceDto.class));
return (TypeAdapter) new TypeAdapter() {
@Override
public void write(JsonWriter out, CreateInferenceDto value) throws IOException {
JsonObject obj = thisAdapter.toJsonTree(value).getAsJsonObject();
obj.remove("additionalProperties");
// serialize additonal properties
if (value.getAdditionalProperties() != null) {
for (Map.Entry entry : value.getAdditionalProperties().entrySet()) {
if (entry.getValue() instanceof String)
obj.addProperty(entry.getKey(), (String) entry.getValue());
else if (entry.getValue() instanceof Number)
obj.addProperty(entry.getKey(), (Number) entry.getValue());
else if (entry.getValue() instanceof Boolean)
obj.addProperty(entry.getKey(), (Boolean) entry.getValue());
else if (entry.getValue() instanceof Character)
obj.addProperty(entry.getKey(), (Character) entry.getValue());
else {
obj.add(entry.getKey(), gson.toJsonTree(entry.getValue()).getAsJsonObject());
}
}
}
elementAdapter.write(out, obj);
}
@Override
public CreateInferenceDto read(JsonReader in) throws IOException {
JsonObject jsonObj = elementAdapter.read(in).getAsJsonObject();
validateJsonObject(jsonObj);
// store additional fields in the deserialized instance
CreateInferenceDto instance = thisAdapter.fromJsonTree(jsonObj);
for (Map.Entry entry : jsonObj.entrySet()) {
if (!openapiFields.contains(entry.getKey())) {
if (entry.getValue().isJsonPrimitive()) { // primitive type
if (entry.getValue().getAsJsonPrimitive().isString())
instance.putAdditionalProperty(entry.getKey(), entry.getValue().getAsString());
else if (entry.getValue().getAsJsonPrimitive().isNumber())
instance.putAdditionalProperty(entry.getKey(), entry.getValue().getAsNumber());
else if (entry.getValue().getAsJsonPrimitive().isBoolean())
instance.putAdditionalProperty(entry.getKey(), entry.getValue().getAsBoolean());
else
throw new IllegalArgumentException(String.format("The field `%s` has unknown primitive type. Value: %s", entry.getKey(), entry.getValue().toString()));
} else if (entry.getValue().isJsonArray()) {
instance.putAdditionalProperty(entry.getKey(), gson.fromJson(entry.getValue(), List.class));
} else { // JSON object
instance.putAdditionalProperty(entry.getKey(), gson.fromJson(entry.getValue(), HashMap.class));
}
}
}
return instance;
}
}.nullSafe();
}
}
/**
* Create an instance of CreateInferenceDto given an JSON string
*
* @param jsonString JSON string
* @return An instance of CreateInferenceDto
* @throws IOException if the JSON string is invalid with respect to CreateInferenceDto
*/
public static CreateInferenceDto fromJson(String jsonString) throws IOException {
return JSON.getGson().fromJson(jsonString, CreateInferenceDto.class);
}
/**
* Convert an instance of CreateInferenceDto to an JSON string
*
* @return JSON string
*/
public String toJson() {
return JSON.getGson().toJson(this);
}
}