Make short video factory use Comfy templates
This commit is contained in:
+177
-15
@@ -14,7 +14,7 @@ use axum::{
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};
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use reqwest::Client;
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use serde::Deserialize;
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use serde_json::{json, Value};
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use serde_json::{json, Map, Value};
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use std::time::Duration;
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const TASK_TYPE_MONEY_PRINTER: &str = "money-printer-video";
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@@ -585,6 +585,24 @@ fn first_node_by_class(prompt: &serde_json::Map<String, Value>, class_type: &str
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.map(|(id, _)| id.clone())
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}
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fn first_existing_input_field(
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prompt: &serde_json::Map<String, Value>,
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node_id: &str,
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fields: &[&str],
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fallback: &str,
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) -> String {
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let inputs = prompt
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.get(node_id)
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.and_then(|node| node.get("inputs"))
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.and_then(Value::as_object);
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fields
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.iter()
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.find(|field| inputs.is_some_and(|inputs| inputs.contains_key(**field)))
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.copied()
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.unwrap_or(fallback)
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.to_string()
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}
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fn prompt_contains_class_type(prompt: &Value, class_type: &str) -> bool {
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match prompt {
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Value::Object(object) => {
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@@ -616,10 +634,14 @@ fn infer_comfy_mapping(prompt: &Value) -> Value {
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.or_else(|| first_node_by_class(object, "KSampler"))
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.or_else(|| first_node_by_class(object, "EmptyLatentImage"))
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.unwrap_or_default();
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let prompt_field = first_existing_input_field(object, &prompt_node, &["prompt", "positive", "text"], "text");
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let ratio_field = first_existing_input_field(object, &video_node, &["ratio", "model.ratio", "aspect_ratio"], "ratio");
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let resolution_field = first_existing_input_field(object, &video_node, &["model.resolution", "resolution", "size"], "resolution");
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let duration_field = first_existing_input_field(object, &video_node, &["model.duration", "duration", "length"], "duration");
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json!({
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"prompt": {
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"nodeId": prompt_node,
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"field": "text"
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"field": prompt_field
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},
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"negativePrompt": {
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"nodeId": negative_node,
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@@ -627,15 +649,15 @@ fn infer_comfy_mapping(prompt: &Value) -> Value {
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},
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"ratio": {
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"nodeId": video_node,
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"field": "ratio"
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"field": ratio_field
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},
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"resolution": {
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"nodeId": video_node,
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"field": "resolution"
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"field": resolution_field
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},
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"duration": {
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"nodeId": video_node,
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"field": "duration"
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"field": duration_field
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}
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})
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}
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@@ -744,6 +766,47 @@ fn apply_node_input(prompt: &mut Value, node_id: &str, field: &str, value: Value
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Ok(())
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}
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fn node_has_input(prompt: &Value, node_id: &str, field: &str) -> bool {
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prompt
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.get(node_id)
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.and_then(|node| node.get("inputs"))
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.and_then(Value::as_object)
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.is_some_and(|inputs| inputs.contains_key(field))
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}
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fn apply_optional_node_input(
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prompt: &mut Value,
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mapping: &Value,
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mapping_keys: &[&str],
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default_field: &str,
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value: Value,
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) {
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let Some(node_id) = mapping_node_id(mapping, mapping_keys) else {
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return;
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};
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let field = mapping_field(mapping, mapping_keys, default_field);
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if !node_has_input(prompt, &node_id, &field) {
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return;
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}
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let _ = apply_node_input(prompt, &node_id, &field, value);
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}
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fn value_to_duration_seconds(value: &Value) -> Option<i64> {
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value
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.as_i64()
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.or_else(|| value.as_str().and_then(|text| text.trim().parse::<i64>().ok()))
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.map(|duration| duration.clamp(2, 120))
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}
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fn normalize_resolution_for_comfy(value: &Value) -> Value {
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let text = value.as_str().unwrap_or_default().trim().to_ascii_lowercase();
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match text.as_str() {
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"720p" | "720" => json!("720P"),
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"1080p" | "1080" => json!("1080P"),
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_ => value.clone(),
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}
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}
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fn inject_comfy_video_inputs(prompt: &mut Value, mapping: &Value, body: &Value, plan: &Value) -> AppResult<String> {
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let video_prompt = string_from(body, &["videoPrompt", "video_prompt"]).unwrap_or_else(|| {
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plan.get("video_prompt")
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@@ -773,18 +836,117 @@ fn inject_comfy_video_inputs(prompt: &mut Value, mapping: &Value, body: &Value,
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json!(negative),
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)?;
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}
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for (keys, request_keys, default_field) in [
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(&["ratio", "ratioNode"][..], &["ratio", "aspectRatio", "aspect_ratio"][..], "ratio"),
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(&["resolution", "resolutionNode"][..], &["resolution", "size"][..], "resolution"),
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(&["duration", "durationNode"][..], &["duration"][..], "duration"),
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] {
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if let Some(node_id) = mapping_node_id(mapping, keys) {
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if let Some(value) = request_keys.iter().find_map(|key| body.get(*key).cloned()) {
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apply_node_input(prompt, &node_id, &mapping_field(mapping, keys, default_field), value)?;
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}
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if let Some(value) = ["ratio", "aspectRatio", "aspect_ratio"].iter().find_map(|key| body.get(*key).cloned()) {
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apply_optional_node_input(prompt, mapping, &["ratio", "ratioNode"], "ratio", value);
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}
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if let Some(value) = ["resolution", "size"].iter().find_map(|key| body.get(*key).cloned()) {
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apply_optional_node_input(
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prompt,
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mapping,
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&["resolution", "resolutionNode"],
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"resolution",
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normalize_resolution_for_comfy(&value),
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);
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}
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if let Some(value) = ["duration"].iter().find_map(|key| body.get(*key)).and_then(value_to_duration_seconds) {
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apply_optional_node_input(prompt, mapping, &["duration", "durationNode"], "duration", json!(value));
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}
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repair_money_printer_comfy_prompt(prompt);
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Ok(video_prompt)
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}
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fn repair_money_printer_comfy_prompt(prompt: &mut Value) {
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repair_resize_image_mask_nodes(prompt);
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repair_text_generate_ltx2_prompt_nodes(prompt);
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repair_wan2_api_nodes(prompt);
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}
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fn repair_resize_image_mask_nodes(prompt: &mut Value) {
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let Some(nodes) = prompt.as_object_mut() else {
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return;
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};
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for (_node_id, node) in nodes.iter_mut() {
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if node.get("class_type").and_then(Value::as_str) != Some("ResizeImageMaskNode") {
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continue;
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}
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let Some(inputs) = node.get_mut("inputs").and_then(Value::as_object_mut) else {
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continue;
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};
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if inputs
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.get("resize_type.crop")
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.is_some_and(|value| !matches!(value.as_str(), Some("disabled" | "center")))
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{
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inputs.insert("resize_type.crop".to_string(), Value::String("center".to_string()));
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}
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}
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Ok(video_prompt)
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}
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fn repair_text_generate_ltx2_prompt_nodes(prompt: &mut Value) {
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let Some(nodes) = prompt.as_object_mut() else {
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return;
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};
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for (_node_id, node) in nodes.iter_mut() {
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if node.get("class_type").and_then(Value::as_str) != Some("TextGenerateLTX2Prompt") {
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continue;
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}
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let Some(inputs) = node.get_mut("inputs").and_then(Value::as_object_mut) else {
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continue;
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};
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if inputs
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.get("sampling_mode.repetition_penalty")
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.and_then(Value::as_f64)
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.is_some_and(|value| !(0.0..=5.0).contains(&value))
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{
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inputs.insert("sampling_mode".to_string(), Value::String("on".to_string()));
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inputs.insert("sampling_mode.temperature".to_string(), json!(0.7));
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inputs.insert("sampling_mode.top_k".to_string(), json!(64));
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inputs.insert("sampling_mode.top_p".to_string(), json!(0.95));
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inputs.insert("sampling_mode.min_p".to_string(), json!(0.05));
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inputs.insert("sampling_mode.repetition_penalty".to_string(), json!(1.05));
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inputs.entry("sampling_mode.seed".to_string()).or_insert_with(|| json!(0));
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inputs.insert("sampling_mode.presence_penalty".to_string(), json!(0.0));
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}
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}
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}
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fn repair_wan2_api_nodes(prompt: &mut Value) {
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let Some(nodes) = prompt.as_object_mut() else {
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return;
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};
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for (_node_id, node) in nodes.iter_mut() {
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let class_type = node.get("class_type").and_then(Value::as_str).unwrap_or_default();
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if !class_type.starts_with("Wan2") || !class_type.ends_with("Api") {
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continue;
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}
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let Some(inputs) = node.get_mut("inputs").and_then(Value::as_object_mut) else {
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continue;
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};
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repair_wan2_model_group(inputs);
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}
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}
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fn repair_wan2_model_group(inputs: &mut Map<String, Value>) {
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let model_value = inputs.get("model").cloned().unwrap_or(Value::Null);
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if let Some(items) = model_value.as_array() {
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if let Some(model) = items.first().cloned() {
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inputs.insert("model".to_string(), model);
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}
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if let Some(resolution) = items.get(1).cloned() {
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inputs.insert("model.resolution".to_string(), normalize_resolution_for_comfy(&resolution));
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}
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if let Some(duration) = items.get(2).and_then(value_to_duration_seconds) {
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inputs.insert("model.duration".to_string(), json!(duration));
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}
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}
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if inputs
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.get("model.resolution")
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.is_some_and(|value| !matches!(value.as_str(), Some("720P" | "1080P")))
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{
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inputs.insert("model.resolution".to_string(), json!("1080P"));
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}
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if let Some(duration) = inputs.get("model.duration").and_then(value_to_duration_seconds) {
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inputs.insert("model.duration".to_string(), json!(duration));
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}
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}
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async fn submit_comfy_prompt(state: &AppState, prompt: Value) -> AppResult<(String, Value)> {
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@@ -55,6 +55,11 @@ function mappingFromGraph(graph: any) {
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function inferMappingFromPrompt(prompt: any) {
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const nodes = prompt && typeof prompt === 'object' && !Array.isArray(prompt) ? Object.entries(prompt as Record<string, any>) : [];
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const inputKeys = (nodeId: string) => Object.keys(prompt?.[String(nodeId)]?.inputs || {});
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const firstInputField = (nodeId: string, fields: string[], fallback: string) => {
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const keys = inputKeys(nodeId);
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return fields.find((field) => keys.includes(field)) || fallback;
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};
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const find = (classWords: string[], inputWords: string[] = []) => {
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return nodes.find(([, node]) => {
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const classType = String(node?.class_type || node?.type || '').toLowerCase();
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@@ -66,11 +71,11 @@ function inferMappingFromPrompt(prompt: any) {
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const negativeNode = find(['negative'], ['negative']);
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const videoNode = find(['wan', 'ltx', 'video'], ['duration', 'ratio', 'resolution']);
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return {
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prompt: { nodeId: String(promptNode), field: prompt?.[String(promptNode)]?.inputs?.prompt !== undefined ? 'prompt' : 'text' },
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prompt: { nodeId: String(promptNode), field: firstInputField(String(promptNode), ['prompt', 'positive', 'text', 'positive_prompt'], 'text') },
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negativePrompt: { nodeId: String(negativeNode), field: 'text' },
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ratio: { nodeId: String(videoNode), field: 'ratio' },
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resolution: { nodeId: String(videoNode), field: 'resolution' },
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duration: { nodeId: String(videoNode), field: 'duration' },
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ratio: { nodeId: String(videoNode), field: firstInputField(String(videoNode), ['ratio', 'model.ratio', 'aspect_ratio'], 'ratio') },
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resolution: { nodeId: String(videoNode), field: firstInputField(String(videoNode), ['model.resolution', 'resolution', 'size'], 'resolution') },
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duration: { nodeId: String(videoNode), field: firstInputField(String(videoNode), ['model.duration', 'duration', 'length'], 'duration') },
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};
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}
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@@ -192,7 +197,6 @@ function workflowLooksVideoCapable(workflow: WorkflowSummary) {
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function moneyPrinterWorkflows(items: WorkflowSummary[]) {
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const seen = new Set<string>();
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return items
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.filter((workflow) => workflowLooksVideoCapable(workflow))
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.filter((workflow) => {
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const key = workflow.publicId || String(workflow.id);
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if (seen.has(key)) return false;
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@@ -200,6 +204,9 @@ function moneyPrinterWorkflows(items: WorkflowSummary[]) {
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return true;
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})
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.sort((a, b) => {
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const aVideo = workflowLooksVideoCapable(a);
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const bVideo = workflowLooksVideoCapable(b);
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if (aVideo !== bVideo) return aVideo ? -1 : 1;
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const aTemplate = a.isTemplate || a.visibility === 'template' || a.visibility === 'public';
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const bTemplate = b.isTemplate || b.visibility === 'template' || b.visibility === 'public';
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if (aTemplate !== bTemplate) return aTemplate ? -1 : 1;
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@@ -207,6 +214,16 @@ function moneyPrinterWorkflows(items: WorkflowSummary[]) {
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});
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}
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function parseJsonInput(value: string, label: string) {
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const trimmed = value.trim();
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if (!trimmed) return undefined;
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try {
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return JSON.parse(trimmed);
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} catch {
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throw new Error(`${label} 不是有效 JSON`);
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}
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}
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export default function MoneyPrinter() {
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const location = useLocation();
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const audience: SessionAudience = location.pathname.startsWith('/user/') ? 'user' : 'admin';
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@@ -215,7 +232,7 @@ export default function MoneyPrinter() {
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const [topic, setTopic] = useState('帮我生成一个 30 秒的 AI 应用平台 BossAI 商品介绍短视频');
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const [scriptModel, setScriptModel] = useState('gpt-5.4');
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const [videoModel, setVideoModel] = useState('seedance-1-0-lite-t2v');
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const [videoBackend, setVideoBackend] = useState<'boosapi' | 'comfy'>('boosapi');
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const [videoBackend, setVideoBackend] = useState<'boosapi' | 'comfy'>('comfy');
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const [style, setStyle] = useState(STYLE_PRESETS[0]);
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const [audienceText, setAudienceText] = useState('AI 工具用户、内容创作者、企业运营');
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const [duration, setDuration] = useState(30);
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@@ -226,7 +243,7 @@ export default function MoneyPrinter() {
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const [comfyNodeMapping, setComfyNodeMapping] = useState('{\n "prompt": { "nodeId": "", "field": "prompt" },\n "negativePrompt": { "nodeId": "", "field": "text" },\n "ratio": { "nodeId": "", "field": "ratio" },\n "resolution": { "nodeId": "", "field": "resolution" },\n "duration": { "nodeId": "", "field": "duration" }\n}');
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const [workflows, setWorkflows] = useState<WorkflowSummary[]>([]);
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const [templateId, setTemplateId] = useState('');
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const [useAdvancedComfy, setUseAdvancedComfy] = useState(false);
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const [showAdvancedComfy, setShowAdvancedComfy] = useState(false);
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const [jobs, setJobs] = useState<MoneyPrinterJob[]>([]);
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const [submitting, setSubmitting] = useState(false);
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const [error, setError] = useState('');
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@@ -254,9 +271,10 @@ export default function MoneyPrinter() {
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}, [loadJobs, loadWorkflows]);
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const selectedWorkflow = workflows.find((item) => item.publicId === templateId) || null;
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const canSubmit = Boolean(topic.trim()) && !submitting && (videoBackend !== 'comfy' || Boolean(templateId));
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useEffect(() => {
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if (!selectedWorkflow || videoBackend !== 'comfy' || !useAdvancedComfy) return;
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if (!selectedWorkflow || videoBackend !== 'comfy') return;
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const prompt = workflowPromptFromGraph(selectedWorkflow.graph);
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if (prompt) setComfyPrompt(JSON.stringify(prompt, null, 2));
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const mapping = mappingFromGraph(selectedWorkflow.graph);
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@@ -292,8 +310,8 @@ export default function MoneyPrinter() {
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language: '中文',
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...(videoBackend === 'comfy' ? {
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templateId: templateId || undefined,
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comfyPrompt: comfyPrompt.trim() ? JSON.parse(comfyPrompt) : undefined,
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comfyNodeMapping: comfyNodeMapping.trim() ? JSON.parse(comfyNodeMapping) : undefined,
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comfyPrompt: parseJsonInput(comfyPrompt, 'Comfy prompt JSON'),
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comfyNodeMapping: parseJsonInput(comfyNodeMapping, '节点映射 JSON'),
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} : {}),
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});
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setJobs((prev) => [payload.job, ...prev.filter((item) => item.id !== payload.job.id)]);
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@@ -329,7 +347,7 @@ export default function MoneyPrinter() {
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setComfyPrompt(request.comfyPrompt ? JSON.stringify(request.comfyPrompt, null, 2) : comfyPrompt);
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setComfyNodeMapping(request.comfyNodeMapping ? JSON.stringify(request.comfyNodeMapping, null, 2) : comfyNodeMapping);
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setTemplateId(request.templateId || templateId);
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setUseAdvancedComfy(Boolean(request.templateId));
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setShowAdvancedComfy(Boolean(request.comfyPrompt || request.comfyNodeMapping));
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};
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return (
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@@ -341,7 +359,7 @@ export default function MoneyPrinter() {
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</div>
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<div className="page-actions">
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<button type="button" className="btn btn-ghost" onClick={() => void loadJobs()}>刷新</button>
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<button type="button" className="btn btn-primary" onClick={submit} disabled={submitting || !topic.trim()}>
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<button type="button" className="btn btn-primary" onClick={submit} disabled={!canSubmit}>
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{submitting ? '提交中...' : '生成短视频'}
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</button>
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</div>
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@@ -353,7 +371,7 @@ export default function MoneyPrinter() {
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<section className="money-printer-panel">
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<div className="money-printer-hero">
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<span>MoneyPrinterTurbo inside</span>
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<strong>一句主题,自动拆成脚本、分镜、视频提示词和成片任务。</strong>
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<strong>一句主题,自动拆成脚本、分镜、视频提示词,再提交到 Comfy API 生成成片。</strong>
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</div>
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<label className="money-printer-field">
|
||||
@@ -375,7 +393,12 @@ export default function MoneyPrinter() {
|
||||
</label>
|
||||
<label className="money-printer-field">
|
||||
<span>视频模型</span>
|
||||
<input value={videoModel} onChange={(event) => setVideoModel(event.target.value)} />
|
||||
<input
|
||||
value={videoModel}
|
||||
onChange={(event) => setVideoModel(event.target.value)}
|
||||
disabled={videoBackend === 'comfy'}
|
||||
title={videoBackend === 'comfy' ? 'Comfy API 模式使用所选工作流模板里的模型' : undefined}
|
||||
/>
|
||||
</label>
|
||||
<label className="money-printer-field">
|
||||
<span>时长</span>
|
||||
@@ -430,7 +453,7 @@ export default function MoneyPrinter() {
|
||||
<option value="">请选择模板</option>
|
||||
{workflows.map((workflow) => (
|
||||
<option key={workflow.publicId} value={workflow.publicId}>
|
||||
{workflowOptionLabel(workflow)}
|
||||
{workflowLooksVideoCapable(workflow) ? '视频 · ' : '模板 · '}{workflowOptionLabel(workflow)}
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
@@ -438,17 +461,32 @@ export default function MoneyPrinter() {
|
||||
{selectedWorkflow ? (
|
||||
<div className="money-printer-template-meta">
|
||||
<strong>{selectedWorkflow.name}</strong>
|
||||
<span>{mappingFromGraph(selectedWorkflow.graph) ? '已带节点映射' : '这个模板没有内置节点映射,系统会尝试自动推断。'}</span>
|
||||
<span>
|
||||
{workflowLooksVideoCapable(selectedWorkflow) ? '已识别为视频工作流' : '未识别视频关键词,请确认这是 Comfy 视频模板'}
|
||||
{' · '}
|
||||
{mappingFromGraph(selectedWorkflow.graph) ? '已带节点映射' : '系统会按节点结构自动推断提示词和参数映射'}
|
||||
</span>
|
||||
</div>
|
||||
) : null}
|
||||
<label className="money-printer-field">
|
||||
<span>Comfy prompt JSON</span>
|
||||
<textarea value={comfyPrompt} onChange={(event) => setComfyPrompt(event.target.value)} rows={7} placeholder='{"12":{"class_type":"...","inputs":{...}}}' />
|
||||
</label>
|
||||
<label className="money-printer-field">
|
||||
<span>节点映射 JSON</span>
|
||||
<textarea value={comfyNodeMapping} onChange={(event) => setComfyNodeMapping(event.target.value)} rows={7} />
|
||||
</label>
|
||||
<button
|
||||
type="button"
|
||||
className="btn btn-ghost money-printer-advanced-toggle"
|
||||
onClick={() => setShowAdvancedComfy((prev) => !prev)}
|
||||
>
|
||||
{showAdvancedComfy ? '收起模板调试' : '展开模板调试'}
|
||||
</button>
|
||||
<div className={`anim-collapse ${showAdvancedComfy ? 'is-open' : ''}`.trim()}>
|
||||
<div className="anim-collapse-inner">
|
||||
<label className="money-printer-field">
|
||||
<span>Comfy prompt JSON</span>
|
||||
<textarea value={comfyPrompt} onChange={(event) => setComfyPrompt(event.target.value)} rows={7} placeholder='{"12":{"class_type":"...","inputs":{...}}}' />
|
||||
</label>
|
||||
<label className="money-printer-field">
|
||||
<span>节点映射 JSON</span>
|
||||
<textarea value={comfyNodeMapping} onChange={(event) => setComfyNodeMapping(event.target.value)} rows={7} />
|
||||
</label>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</section>
|
||||
|
||||
Reference in New Issue
Block a user