Files
armorpaint/paint/sources/neural_nodes/text_to_image_node.c
T
2026-05-29 20:02:12 +02:00

245 lines
9.8 KiB
C

#include "../global.h"
string_array_t *text_to_image_node_sd_args(char *dir, char *prompt) {
string_array_t *argv = any_array_create_from_raw(
(void *[]){
string("%s/%s", dir, neural_node_sd_bin()),
"-m",
string("%s/v1-5-pruned-emaonly.safetensors", dir),
"--offload-to-cpu",
"-W",
"512",
"-H",
"512",
"--steps",
"40",
"-s",
"-1",
"-o",
string("%s/output.png", dir),
"-p",
string("'%s'", prompt),
NULL,
},
17);
return argv;
}
string_array_t *text_to_image_node_zimage_args(char *dir, char *prompt) {
string_array_t *argv = any_array_create_from_raw(
(void *[]){
string("%s/%s", dir, neural_node_sd_bin()),
"--diffusion-model",
string("%s/z_image_turbo-Q4_K.gguf", dir),
"--vae",
string("%s/ae.safetensors", dir),
"--llm",
string("%s/Qwen3-4B-Instruct-2507-Q4_K_S.gguf", dir),
"--diffusion-fa",
"--offload-to-cpu",
"--cfg-scale",
"1.0",
"-W",
"512",
"-H",
"512",
"--steps",
"40",
"-s",
"-1",
"-o",
string("%s/output.png", dir),
"-p",
string("'%s'", prompt),
NULL,
},
24);
return argv;
}
string_array_t *text_to_image_node_qwen_args(char *dir, char *prompt) {
string_array_t *argv = any_array_create_from_raw(
(void *[]){
string("%s/%s", dir, neural_node_sd_bin()),
"--diffusion-model",
string("%s/qwen-image-2512-Q4_K_S.gguf", dir),
"--vae",
string("%s/Qwen_Image-VAE.safetensors", dir),
"--llm",
string("%s/Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf", dir),
"--llm_vision",
string("%s/mmproj-F16.gguf", dir),
"--sampling-method",
"euler",
"--offload-to-cpu",
"-W",
"512",
"-H",
"512",
"--steps",
"20",
"-s",
"-1",
"-o",
string("%s/output.png", dir),
"-p",
string("'%s'", prompt),
NULL,
},
25);
return argv;
}
string_array_t *text_to_image_node_flux_klein_args(char *dir, char *prompt) {
string_array_t *argv = any_array_create_from_raw(
(void *[]){
string("%s/%s", dir, neural_node_sd_bin()),
"--diffusion-model",
string("%s/flux-2-klein-4b-Q8_0.gguf", dir),
"--vae",
// string("%s/full_encoder_small_decoder.safetensors", dir),
string("%s/flux_ae.safetensors", dir),
"--llm",
string("%s/Qwen3-4B-Q8_0.gguf", dir),
"--cfg-scale",
"1.0",
"--sampling-method",
"euler",
"--diffusion-fa",
"--offload-to-cpu",
"--steps",
"4",
"-W",
"512",
"-H",
"512",
"-s",
"-1",
"-o",
string("%s/output.png", dir),
"-p",
string("'%s'", prompt),
NULL,
},
26);
return argv;
}
void text_to_image_node_run(ui_node_t *node, void (*callback)(ui_node_t *)) {
char *node_name = parser_material_node_name(node, NULL);
ui_handle_t *h = ui_handle(node_name);
i32 model = ui_nest(h, 0)->i;
char *prompt = ui_nest(h, 1)->text;
char *dir = neural_node_dir();
if (prompt == NULL || string_equals(prompt, "")) {
prompt = ".";
}
string_array_t *argv;
if (model == 0) {
argv = text_to_image_node_sd_args(dir, prompt);
}
else if (model == 1) {
argv = text_to_image_node_zimage_args(dir, prompt);
}
else if (model == 2) {
argv = text_to_image_node_qwen_args(dir, prompt);
}
else {
argv = text_to_image_node_flux_klein_args(dir, prompt);
}
if (node->buttons->buffer[1]->default_value->buffer[0] > 0.0) {
array_insert(argv, argv->length - 1, "--circular");
}
iron_exec_async(argv->buffer[0], argv->buffer);
sys_notify_on_update(callback, node);
}
void text_to_image_node_button(i32 node_id) {
ui_node_t *node = ui_get_node(ui_nodes_get_canvas(true)->nodes, node_id);
char *node_name = parser_material_node_name(node, NULL);
ui_handle_t *h = ui_handle(node_name);
string_array_t *models = any_array_create_from_raw(
(void *[]){
"Stable Diffusion",
"Z-Image-Turbo",
"Qwen Image",
"FLUX 2 klein",
},
4);
i32 model = ui_combo(ui_nest(h, 0), models, tr("Model"), false, UI_ALIGN_LEFT, true);
char *prompt = ui_text_area(ui_nest(h, 1), UI_ALIGN_LEFT, true, tr("prompt"), true);
node->buttons->buffer[0]->height = string_split(prompt, "\n")->length + 2;
if (neural_node_button(node, models->buffer[model])) {
text_to_image_node_run(node, neural_node_check_result);
}
}
void text_to_image_node_init() {
ui_node_t *text_to_image_node_def =
GC_ALLOC_INIT(ui_node_t, {.id = 0,
.name = _tr("Text to Image"),
.type = "NEURAL_TEXT_TO_IMAGE",
.x = 0,
.y = 0,
.color = 0xff4982a0,
.inputs = any_array_create_from_raw(
(void *[]){
GC_ALLOC_INIT(ui_node_socket_t, {.id = 0,
.node_id = 0,
.name = _tr("In"),
.type = "BOOL",
.color = 0xff6363c7,
.default_value = f32_array_create_xyz(0.0, 0.0, 0.0),
.min = 0.0,
.max = 1.0,
.precision = 100,
.display = 0}),
},
1),
.outputs = any_array_create_from_raw(
(void *[]){
GC_ALLOC_INIT(ui_node_socket_t, {.id = 0,
.node_id = 0,
.name = _tr("Color"),
.type = "RGBA",
.color = 0xffc7c729,
.default_value = f32_array_create_xyzw(0.0, 0.0, 0.0, 1.0),
.min = 0.0,
.max = 1.0,
.precision = 100,
.display = 0}),
},
1),
.buttons = any_array_create_from_raw(
(void *[]){
GC_ALLOC_INIT(ui_node_button_t, {.name = "text_to_image_node_button",
.type = "CUSTOM",
.output = -1,
.default_value = f32_array_create_x(0),
.data = NULL,
.min = 0.0,
.max = 1.0,
.precision = 100,
.height = 1}),
GC_ALLOC_INIT(ui_node_button_t, {.name = _tr("Tiled"),
.type = "BOOL",
.output = 0,
.default_value = f32_array_create_x(0),
.data = NULL,
.min = 0.0,
.max = 1.0,
.precision = 100,
.height = 0}),
},
2),
.width = 0,
.flags = 0});
any_array_push(nodes_material_neural, text_to_image_node_def);
any_map_set(parser_material_node_vectors, "NEURAL_TEXT_TO_IMAGE", neural_node_vector);
any_map_set(ui_nodes_custom_buttons, "text_to_image_node_button", text_to_image_node_button);
}