176 lines
4.4 KiB
TypeScript
176 lines
4.4 KiB
TypeScript
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let text_to_image_node_result: gpu_texture_t = null;
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function text_to_image_node_init() {
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array_push(nodes_material_neural, text_to_image_node_def);
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map_set(parser_material_node_vectors, "NEURAL_TEXT_TO_IMAGE", text_to_image_node_vector);
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map_set(ui_nodes_custom_buttons, "text_to_image_node_button", text_to_image_node_button);
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}
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function text_to_image_node_vector(node: ui_node_t, socket: ui_node_socket_t): string {
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if (text_to_image_node_result == null) {
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return("float3(0.0, 0.0, 0.0)");
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}
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let tex_name: string = parser_material_node_name(node);
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map_set(data_cached_images, tex_name, text_to_image_node_result);
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let tex: bind_tex_t = parser_material_make_bind_tex(tex_name, tex_name);
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let texstore: string = parser_material_texture_store(node, tex, tex_name, color_space_t.AUTO);
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return texstore + ".rgb";
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}
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function text_to_image_node_run_qwen(dir: string, prompt: string): string[] {
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let argv: string[] = [
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dir + "/sd",
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"--diffusion-model", dir + "/qwen-image-Q8_0.gguf",
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"--vae", dir + "/qwen_image_vae.safetensors",
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"--qwen2vl", dir + "/Qwen2.5-VL-7B-Instruct-Q8_0.gguf",
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"--sampling-method", "euler",
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"--offload-to-cpu",
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"-W", "512",
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"-H", "512",
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"--steps", "40",
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"-s", "-1",
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"-o", dir + "/output.png",
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"-p", "'" + prompt + "'",
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null
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];
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return argv;
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}
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function text_to_image_node_run_wan(dir: string, prompt: string): string[] {
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let argv: string[] = [
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dir + "/sd",
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"-M", "vid_gen",
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"--diffusion-model", dir + "/Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf",
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"--high-noise-diffusion-model", dir + "/Wan2.2-T2V-A14B-HighNoise-Q8_0.gguf",
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"--vae", dir + "/wan_2.1_vae.safetensors",
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"--t5xxl", dir + "/umt5-xxl-encoder-Q8_0.gguf",
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// "--cfg-scale", "3.5",
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"--sampling-method", "euler",
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"--steps", "40",
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// "--high-noise-cfg-scale", "3.5",
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"--high-noise-sampling-method", "euler",
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"--high-noise-steps", "20",
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"-W", "512",
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"-H", "512",
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// "--diffusion-fa",
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"--offload-to-cpu",
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// "--flow-shift", "3.0",
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"-s", "-1",
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"-o", dir + "/output.png",
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"-p", "'" + prompt + "'",
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null
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];
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return argv;
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}
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function text_to_image_node_button(node_id: i32) {
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let node: ui_node_t = ui_get_node(ui_nodes_get_canvas(true).nodes, node_id);
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let models: string[] = ["Qwen Image", "Wan"];
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let model: i32 = ui_combo(ui_handle(__ID__), models, tr("Model"));
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// let tiling: bool = node.buttons[0].default_value[0] == 0 ? false : true;
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let prompt: string = ui_text_area(ui_handle(__ID__), ui_align_t.LEFT, true, tr("prompt"), true);
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node.buttons[1].height = string_split(prompt, "\n").length + 2;
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// ui_button("Download");
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if (iron_exec_async_done == 0) {
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ui_button("Cancel...");
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}
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else if (ui_button("Run")) {
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let dir: string;
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if (path_is_protected()) {
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dir = iron_internal_save_path() + "models";
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}
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else {
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dir = iron_internal_files_location() + path_sep + "models";
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}
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let argv: string[];
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if (model == 0) {
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argv = text_to_image_node_run_qwen(dir, prompt);
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}
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else {
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argv = text_to_image_node_run_wan(dir, prompt);
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}
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iron_exec_async(argv[0], argv.buffer);
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sys_notify_on_update(text_to_image_node_check_result, dir);
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}
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}
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function text_to_image_node_check_result(dir: string) {
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if (iron_exec_async_done == 1) {
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let file: string = dir + path_sep + "output.png";
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if (iron_file_exists(file)) {
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text_to_image_node_result = iron_load_texture(file);
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}
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sys_remove_update(text_to_image_node_check_result);
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}
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}
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let text_to_image_node_def: ui_node_t = {
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id: 0,
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name: _tr("Text to Image"),
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type: "NEURAL_TEXT_TO_IMAGE",
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x: 0,
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y: 0,
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color: 0xff4982a0,
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inputs: [
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{
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id: 0,
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node_id: 0,
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name: _tr("Vector"),
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type: "VECTOR",
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color: 0xff6363c7,
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default_value: f32_array_create_xyz(0.0, 0.0, 0.0),
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min: 0.0,
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max: 1.0,
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precision: 100,
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display: 0
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}
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],
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outputs: [
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{
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id: 0,
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node_id: 0,
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name: _tr("Color"),
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type: "RGBA",
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color: 0xffc7c729,
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default_value: f32_array_create_xyzw(0.0, 0.0, 0.0, 1.0),
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min: 0.0,
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max: 1.0,
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precision: 100,
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display: 0
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}
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],
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buttons: [
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{
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name: _tr("tiling"),
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type: "BOOL",
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output: 0,
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default_value: f32_array_create_x(0),
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data: null,
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min: 0.0,
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max: 1.0,
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precision: 100,
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height: 0
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},
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{
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name: "text_to_image_node_button",
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type: "CUSTOM",
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output: -1,
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default_value: f32_array_create_x(0),
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data: null,
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min: 0.0,
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max: 1.0,
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precision: 100,
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height: 1
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}
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],
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width: 0,
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flags: 0
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};
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