142 lines
4.4 KiB
Go
142 lines
4.4 KiB
Go
package runway
|
|
|
|
import (
|
|
"bytes"
|
|
"context"
|
|
"errors"
|
|
"fmt"
|
|
"image"
|
|
"strings"
|
|
"time"
|
|
|
|
tlsclient "github.com/bogdanfinn/tls-client"
|
|
"github.com/google/uuid"
|
|
)
|
|
|
|
// GenerateImage runs the Runway "Nano Banana Pro" (workflow_gemini_image /
|
|
// gemini-3-pro-image-preview) text/image-to-image pipeline: upload each
|
|
// reference image (DATASET + DATASET_PREVIEW → dataset) to obtain its
|
|
// {assetId, url}, create a gemini image task and poll it to completion, then
|
|
// download the rendered PNG. teamID is the workspace id; if empty it's derived
|
|
// from the token. imageSize is the "1K"/"2K"/"4K" tier (Pro honors 2K/4K).
|
|
// refs may be empty (pure text-to-image).
|
|
func (c *Client) GenerateImage(ctx context.Context, token, teamID, prompt, imageSize string, refs [][]byte) ([]byte, map[string]any, error) {
|
|
token = strings.TrimSpace(strings.TrimPrefix(token, "Bearer "))
|
|
if token == "" {
|
|
return nil, nil, ErrAuth
|
|
}
|
|
if teamID == "" {
|
|
teamID = TeamIDFromToken(token)
|
|
}
|
|
if teamID == "" {
|
|
return nil, nil, errors.New("runway: no team id")
|
|
}
|
|
if strings.TrimSpace(imageSize) == "" {
|
|
imageSize = "1K"
|
|
}
|
|
|
|
// Only the task-create (generate submit) egresses via the proxy; reference
|
|
// upload, polling and download run on the local IP.
|
|
submitClient, err := c.newTLSClient()
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
directClient, err := c.newDirectTLSClient()
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
|
|
var refImages []map[string]any
|
|
for i, raw := range refs {
|
|
if len(raw) == 0 {
|
|
continue
|
|
}
|
|
filename := fmt.Sprintf("ref_%s_%d.png", time.Now().UTC().Format("20060102_150405"), i+1)
|
|
assetID, url, upErr := c.uploadReference(ctx, directClient, token, teamID, filename, raw)
|
|
if upErr != nil {
|
|
return nil, nil, upErr
|
|
}
|
|
refImages = append(refImages, map[string]any{
|
|
"tag": fmt.Sprintf("IMG_%d", i+1),
|
|
"assetId": assetID,
|
|
"url": url,
|
|
})
|
|
}
|
|
|
|
taskID, err := c.createImageTask(ctx, submitClient, token, teamID, prompt, imageSize, refImages)
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
artifactURL, err := c.pollTask(ctx, directClient, token, teamID, taskID)
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
data, err := c.download(ctx, directClient, artifactURL)
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
meta := map[string]any{
|
|
"provider": "runway",
|
|
"task_id": taskID,
|
|
"team_id": teamID,
|
|
"image_url": artifactURL,
|
|
}
|
|
return data, meta, nil
|
|
}
|
|
|
|
// uploadReference uploads one reference image through the dataset pipeline
|
|
// (DATASET_PREVIEW + DATASET uploads → /v1/datasets) and returns its asset id
|
|
// (= dataset id) and the cloudfront URL the task references.
|
|
func (c *Client) uploadReference(ctx context.Context, client tlsclient.HttpClient, token, teamID, filename string, data []byte) (string, string, error) {
|
|
cfg, _, err := image.DecodeConfig(bytes.NewReader(data))
|
|
if err != nil {
|
|
return "", "", errors.New("runway: failed to decode reference image")
|
|
}
|
|
previewUploadID, _, err := c.uploadFile(ctx, client, token, teamID, filename, "DATASET_PREVIEW", data)
|
|
if err != nil {
|
|
return "", "", err
|
|
}
|
|
// The DATASET upload's completed URL is exactly what the task references.
|
|
datasetUploadID, refURL, err := c.uploadFile(ctx, client, token, teamID, filename, "DATASET", data)
|
|
if err != nil {
|
|
return "", "", err
|
|
}
|
|
assetID, _, err := c.createDataset(ctx, client, token, teamID, filename, datasetUploadID, previewUploadID, cfg.Width, cfg.Height)
|
|
if err != nil {
|
|
return "", "", err
|
|
}
|
|
return assetID, refURL, nil
|
|
}
|
|
|
|
// createImageTask creates a workflow_gemini_image (Nano Banana Pro) task and
|
|
// returns its id.
|
|
func (c *Client) createImageTask(ctx context.Context, client tlsclient.HttpClient, token, teamID, prompt, imageSize string, refImages []map[string]any) (string, error) {
|
|
opts := map[string]any{
|
|
"name": "Nano Banana Pro - " + prompt,
|
|
"text_prompt": prompt,
|
|
"num_images": 1,
|
|
"image_size": imageSize,
|
|
"model": "gemini-3-pro-image-preview",
|
|
"exploreMode": false,
|
|
"creationSource": "tool-mode",
|
|
}
|
|
if len(refImages) > 0 {
|
|
opts["reference_images"] = refImages
|
|
}
|
|
res, err := c.submitTask(ctx, client, token, teamID, map[string]any{
|
|
"taskType": "workflow_gemini_image",
|
|
"options": opts,
|
|
"asTeamId": jsonNumberOrString(teamID),
|
|
"sessionId": uuid.NewString(),
|
|
})
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
task, _ := res["task"].(map[string]any)
|
|
id := strings.TrimSpace(stringValue(task["id"]))
|
|
if id == "" {
|
|
return "", fmt.Errorf("%w: image task missing id", ErrTemporaryUpstream)
|
|
}
|
|
return id, nil
|
|
}
|