system prompt enhancement

This commit is contained in:
Brandon Thomas committed 2025-04-15 14:57:16 -04:00
1 parent bae6bc6863
commit d78ccbca25
1 file changed
+62 -7
@@ -76,6 +76,9 @@ pub struct EnqueueStudioImageGenRequest {
/// The user's image generation prompt.
pub prompt: String,
/// Turn off the system prompt.
pub disable_system_prompt: Option<bool>,
/// Additional images to include (optional). Up to nine images.
pub maybe_additional_images: Option<Vec<MediaFileToken>>,
@@ -283,9 +286,15 @@ pub async fn enqueue_studio_image_generation_handler(http_request: HttpRequest,
None => 1,
};
let prompt = request.prompt.clone();
let prompt = create_prompt(&request);
let mut response = sora_image_gen_remix(SoraImageGenRemixRequest { prompt: prompt.clone(), num_images: NumImages::One, image_size: ImageSize::Square, sora_media_tokens: sora_media_tokens.clone(), credentials: &sora_credentials }).await;
let mut response = sora_image_gen_remix(SoraImageGenRemixRequest {
prompt: prompt.clone(),
num_images: NumImages::One,
image_size: ImageSize::Square,
sora_media_tokens: sora_media_tokens.clone(),
credentials: &sora_credentials
}).await;
debug!("Sora image gen response: {:?}", response);
@@ -296,13 +305,19 @@ pub async fn enqueue_studio_image_generation_handler(http_request: HttpRequest,
match refresh_sentinel().await {
Ok(new_sentinel) => {
// Update the credentials with new sentinel
let updated_sora_credentials = get_sora_credentials_from_request(&http_request, &mut redis).map_err(|e| {
error!("sora credential error: {:?}", e);
EnqueueImageGenRequestError::ServerError
})?;
// Retry the request with new sentinel
response = sora_image_gen_remix(SoraImageGenRemixRequest { prompt: prompt.clone(), num_images: NumImages::One, image_size: ImageSize::Square, sora_media_tokens: sora_media_tokens.clone(), credentials: &updated_sora_credentials }).await;
response = sora_image_gen_remix(SoraImageGenRemixRequest {
prompt: prompt.clone(),
num_images: NumImages::One,
image_size: ImageSize::Square,
sora_media_tokens: sora_media_tokens.clone(),
credentials: &updated_sora_credentials
}).await;
},
Err(e) => {
error!("Failed to refresh Sora sentinel: {:?}", e);
@@ -329,7 +344,14 @@ pub async fn enqueue_studio_image_generation_handler(http_request: HttpRequest,
debug!("Sora image gen response: {:?}", response);
// Store the actual inference args that will go to the database
let inference_args = SoraImageGenArgs { prompt: Some(prompt), scene_snapshot_media_token: Some(request.snapshot_media_token.clone()), maybe_additional_media_file_tokens: Some(additional_images), maybe_number_of_samples: Some(number_of_samples), maybe_sora_media_upload_tokens: Some(sora_media_tokens), maybe_sora_task_id: Some(response.task_id) };
let inference_args = SoraImageGenArgs {
prompt: Some(prompt),
scene_snapshot_media_token: Some(request.snapshot_media_token.clone()),
maybe_additional_media_file_tokens: Some(additional_images),
maybe_number_of_samples: Some(number_of_samples),
maybe_sora_media_upload_tokens: Some(sora_media_tokens),
maybe_sora_task_id: Some(response.task_id)
};
// create the inference args here
let maybe_avt_token = server_state.avt_cookie_manager.get_avt_token_from_request(&http_request);
@@ -348,7 +370,10 @@ pub async fn enqueue_studio_image_generation_handler(http_request: HttpRequest,
maybe_cover_image_media_file_token: None,
maybe_raw_inference_text: None,
maybe_max_duration_seconds: None,
maybe_inference_args: Some(GenericInferenceArgs { inference_category: Some(InferenceCategoryAbbreviated::ImageGeneration), args: Some(PolymorphicInferenceArgs::Sg(inference_args)) }),
maybe_inference_args: Some(GenericInferenceArgs {
inference_category: Some(InferenceCategoryAbbreviated::ImageGeneration),
args: Some(PolymorphicInferenceArgs::Sg(inference_args)),
}),
maybe_creator_user_token: maybe_user_token.as_ref(),
maybe_avt_token: maybe_avt_token.as_ref(),
creator_ip_address: &ip_address,
@@ -412,7 +437,10 @@ async fn query_and_download_media_file(media_file_token: &MediaFileToken, downlo
},
};
let media_file_bucket_path = MediaFileBucketPath::from_object_hash(&media_file.public_bucket_directory_hash, media_file.maybe_public_bucket_prefix.as_deref(), media_file.maybe_public_bucket_extension.as_deref());
let media_file_bucket_path = MediaFileBucketPath::from_object_hash(
&media_file.public_bucket_directory_hash,
media_file.maybe_public_bucket_prefix.as_deref(),
media_file.maybe_public_bucket_extension.as_deref());
let extension = media_file.maybe_public_bucket_extension.clone().unwrap_or_else(|| ".jpg".to_string());
let download_filename = format!("download_file_{}.{}", media_file.token.as_str(), extension);
@@ -424,3 +452,30 @@ async fn query_and_download_media_file(media_file_token: &MediaFileToken, downlo
Ok(download_file_path)
}
const SYSTEM_PROMPT_SINGLE_IMAGE: &str =
"Use the image as a reference for the composition exactly. Copy the character pose, layout, scene, and the objects exactly - no deviation.";
const SYSTEM_PROMPT_MULTI_IMAGE: &str =
"Use the first image as a reference for the composition exactly. Copy the character pose, layout, scene, and the objects exactly from the first image - no deviation.";
fn create_prompt(request: &EnqueueStudioImageGenRequest) -> String {
let disable_system_prompt = request.disable_system_prompt
.clone()
.unwrap_or(false);
if disable_system_prompt {
return request.prompt.clone();
}
let extra_image_count = request.maybe_additional_images
.as_ref()
.map(|v| v.len())
.unwrap_or(0);
if extra_image_count == 0 {
format!("{} {}", SYSTEM_PROMPT_SINGLE_IMAGE, request.prompt)
} else {
format!("{} {}", SYSTEM_PROMPT_MULTI_IMAGE, request.prompt)
}
}