feature: added seedream 4.5 edit

This commit is contained in:
Steve Tietze
2025-12-18 15:14:26 +07:00
parent 92e3a237cb
commit 910c5ca7e0
+170
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"""Seedream 4.5 image edit helper.
Implements the Seedream 4.5 edit workflow as documented in
`docs/KIE_API_SEEDREAM_45_EDIT_SPEC.md`.
This module:
- validates inputs
- uploads the input image
- creates a task
- polls until completion (shared helper)
- downloads and decodes the resulting image (shared helper)
"""
import json
import time
from typing import Any
import torch
from .auth import _load_api_key
from .credits import _log_remaining_credits
from .http import TransientKieError, requests
from .images import _image_bytes_to_tensor
from .jobs import _poll_task_until_complete
from .nanobanana import _download_image, _extract_result_urls, _log
from .upload import _image_tensor_to_png_bytes, _truncate_url, _upload_image
CREATE_TASK_URL = "https://api.kie.ai/api/v1/jobs/createTask"
MODEL_NAME = "seedream/4.5-edit"
ASPECT_RATIO_OPTIONS = ["1:1", "4:3", "3:4", "16:9", "9:16", "2:3", "3:2", "21:9"]
QUALITY_OPTIONS = ["basic", "high"]
PROMPT_MAX_LENGTH = 3000
def _validate_prompt(prompt: str) -> None:
if not prompt:
raise RuntimeError("Prompt is required.")
if len(prompt) > PROMPT_MAX_LENGTH:
raise RuntimeError("Prompt exceeds the maximum length of 3000 characters.")
def _validate_options(aspect_ratio: str, quality: str) -> None:
if aspect_ratio not in ASPECT_RATIO_OPTIONS:
raise RuntimeError("Invalid aspect_ratio. Use the pinned enum options.")
if quality not in QUALITY_OPTIONS:
raise RuntimeError("Invalid quality. Use the pinned enum options.")
def _validate_image_input(images: torch.Tensor | None) -> torch.Tensor:
if images is None:
raise RuntimeError("images input is required.")
if not isinstance(images, torch.Tensor):
raise RuntimeError("images input must be a tensor batch.")
if images.dim() != 4 or images.shape[-1] != 3:
raise RuntimeError("images input must have shape [B, H, W, 3].")
if images.shape[0] < 1:
raise RuntimeError("images input batch is empty.")
return images
def _create_seedream45_edit_task(api_key: str, payload: dict[str, Any]) -> tuple[str, str]:
try:
response = requests.post(
CREATE_TASK_URL,
headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
json=payload,
timeout=30,
)
except requests.RequestException as exc:
raise RuntimeError(f"Failed to call createTask endpoint: {exc}") from exc
if response.status_code == 429 or response.status_code >= 500:
raise TransientKieError(
f"createTask returned HTTP {response.status_code}: {response.text}", status_code=response.status_code
)
try:
payload_json: Any = response.json()
except json.JSONDecodeError as exc:
raise RuntimeError("createTask endpoint did not return valid JSON.") from exc
if payload_json.get("code") != 200:
message = payload_json.get("message") or payload_json.get("msg")
raise RuntimeError(f"createTask endpoint returned error code {payload_json.get('code')}: {message}")
task_id = (payload_json.get("data") or {}).get("taskId")
if not task_id:
raise RuntimeError("createTask endpoint did not return a taskId.")
return task_id, response.text
def run_seedream45_edit(
prompt: str,
images: torch.Tensor,
aspect_ratio: str,
quality: str,
poll_interval_s: float,
timeout_s: int,
log: bool,
) -> torch.Tensor:
"""Run a Seedream 4.5 image edit job.
Args:
prompt: Edit instruction text.
images: ComfyUI IMAGE tensor batch (B, H, W, 3).
aspect_ratio: Output aspect ratio (spec-defined enum).
quality: Output quality (spec-defined enum).
poll_interval_s: Seconds between status polls.
timeout_s: Maximum seconds to wait for completion.
log: Enable verbose logging.
Returns:
ComfyUI IMAGE tensor (1, H, W, 3) float32 in [0, 1].
Raises:
RuntimeError: For validation errors or non-retryable API/task failures.
TransientKieError: For retryable API/task failures.
"""
_validate_prompt(prompt)
_validate_options(aspect_ratio, quality)
images = _validate_image_input(images)
api_key = _load_api_key()
if images.shape[0] > 1:
_log(log, f"More than 1 image provided ({images.shape[0]}); only the first will be used.")
_log(log, "Uploading edit input image...")
png_bytes = _image_tensor_to_png_bytes(images[0])
image_url = _upload_image(api_key, png_bytes)
_log(log, f"Input image upload success: {_truncate_url(image_url)}")
payload = {
"model": MODEL_NAME,
"input": {
"prompt": prompt,
"image_urls": [image_url],
"aspect_ratio": aspect_ratio,
"quality": quality,
},
}
_log(log, "Creating Seedream 4.5 edit task...")
start_time = time.time()
task_id, create_response_text = _create_seedream45_edit_task(api_key, payload)
_log(log, f"createTask response (elapsed={time.time() - start_time:.1f}s): {create_response_text}")
_log(log, f"Task created with ID {task_id}. Polling for completion...")
record_data = _poll_task_until_complete(
api_key,
task_id,
poll_interval_s,
timeout_s,
log,
start_time,
)
result_urls = _extract_result_urls(record_data)
_log(log, f"Result URLs: {result_urls}")
_log(log, f"Downloading result image from {result_urls[0]}...")
image_bytes = _download_image(result_urls[0])
image_tensor = _image_bytes_to_tensor(image_bytes)
_log(log, "Image downloaded and decoded.")
_log_remaining_credits(log, record_data, api_key, _log)
return image_tensor