Creating a picture through the API - Create Image - Endpoint 30 - does not work - Help?

[miraculix95]

Hi everyone, I am just trying to use the API as described in the footnotes. As it seems most endpoints, or numbers are useless.
Is there a more detailed explanation.

However the endpoint 30 seems to be used to create pictures. However I have not been able to make it work in Python.
I have installted gradio_client with pip install.
The interpreter is running (I am using google colab) is running for up to a minute then there is an error.
Does anyone havea working example?

it says "loaded as API" then there is a mistake. See below.

my code
`from gradio_client import Client

client = Client("https://e1e966928d694b94fa.gradio.live/")
result = client.predict(
"A man in a boat on a river", # str in 'parameter_10' Textbox component
"", # str in 'Negative Prompt' Textbox component
["Fooocus V2"], # List[str] in 'Selected Styles' Checkboxgroup component
"Speed", # str in 'Performance' Radio component
"704×1408 ∣ 1:2", # str in 'Aspect Ratios' Radio component
1, # int | float (numeric value between 1 and 32) in 'Image Number' Slider component
"6767620991018717316", # str in 'Seed' Textbox component
0, # int | float (numeric value between 0.0 and 30.0) in 'Image Sharpness' Slider component
1, # int | float (numeric value between 1.0 and 30.0) in 'Guidance Scale' Slider component
"pyrosNSFWSDXL_v04.safetensors", # str (Option from: ['pyrosNSFWSDXL_v04.safetensors', 'afroditeXL_11Bkdvae.safetensors', 'xl13AsmodeusSFWNSFW_v22BakedVAE.safetensors', 'juggernautXL_version6Rundiffusion.safetensors', 'realisticStockPhoto_v10.safetensors']) in 'Base Model (SDXL only)' Dropdown component
"None", # str (Option from: ['None', 'pyrosNSFWSDXL_v04.safetensors', 'afroditeXL_11Bkdvae.safetensors', 'xl13AsmodeusSFWNSFW_v22BakedVAE.safetensors', 'juggernautXL_version6Rundiffusion.safetensors', 'realisticStockPhoto_v10.safetensors']) in 'Refiner (SDXL or SD 1.5)' Dropdown component
0.1, # int | float (numeric value between 0.1 and 1.0) in 'Refiner Switch At' Slider component
"None", # str (Option from: ['None', 'SDXL_Sevenof9_5th_NSFW_32.safetensors', 'nsfw-xl-2.0.safetensors', 'NsfwPovAllInOneLoraSdxl-000009MINI.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors', 'SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors']) in 'LoRA 1' Dropdown component
-2, # int | float (numeric value between -2 and 2) in 'Weight' Slider component
"None", # str (Option from: ['None', 'SDXL_Sevenof9_5th_NSFW_32.safetensors', 'nsfw-xl-2.0.safetensors', 'NsfwPovAllInOneLoraSdxl-000009MINI.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors', 'SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors']) in 'LoRA 2' Dropdown component
-2, # int | float (numeric value between -2 and 2) in 'Weight' Slider component
"None", # str (Option from: ['None', 'SDXL_Sevenof9_5th_NSFW_32.safetensors', 'nsfw-xl-2.0.safetensors', 'NsfwPovAllInOneLoraSdxl-000009MINI.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors', 'SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors']) in 'LoRA 3' Dropdown component
-2, # int | float (numeric value between -2 and 2) in 'Weight' Slider component
"None", # str (Option from: ['None', 'SDXL_Sevenof9_5th_NSFW_32.safetensors', 'nsfw-xl-2.0.safetensors', 'NsfwPovAllInOneLoraSdxl-000009MINI.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors', 'SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors']) in 'LoRA 4' Dropdown component
-2, # int | float (numeric value between -2 and 2) in 'Weight' Slider component
"None", # str (Option from: ['None', 'SDXL_Sevenof9_5th_NSFW_32.safetensors', 'nsfw-xl-2.0.safetensors', 'NsfwPovAllInOneLoraSdxl-000009MINI.safetensors', 'sd_xl_offset_example-lora_1.0.safetensors', 'SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors']) in 'LoRA 5' Dropdown component
-2, # int | float (numeric value between -2 and 2) in 'Weight' Slider component
False, # bool in 'Input Image' Checkbox component
"", # str in 'parameter_82' Textbox component
"Disabled", # str in 'Upscale or Variation:' Radio component
"", # str (filepath or URL to image) in 'Drag above image to here' Image component
["Left"], # List[str] in 'Outpaint Direction' Checkboxgroup component
"", # str (filepath or URL to image) in 'Drag above image to here' Image component
"", # str in 'Inpaint Additional Prompt' Textbox component
"", # str (filepath or URL to image) in 'Image' Image component
0, # int | float (numeric value between 0.0 and 1.0) in 'Stop At' Slider component
0, # int | float (numeric value between 0.0 and 2.0) in 'Weight' Slider component
"", # str in 'Type' Radio component
"", # str (filepath or URL to image) in 'Image' Image component
0, # int | float (numeric value between 0.0 and 1.0) in 'Stop At' Slider component
0, # int | float (numeric value between 0.0 and 2.0) in 'Weight' Slider component
"", # str in 'Type' Radio component
"", # str (filepath or URL to image) in 'Image' Image component
0, # int | float (numeric value between 0.0 and 1.0) in 'Stop At' Slider component
0, # int | float (numeric value between 0.0 and 2.0) in 'Weight' Slider component
"", # str in 'Type' Radio component
"", # str (filepath or URL to image) in 'Image' Image component
0, # int | float (numeric value between 0.0 and 1.0) in 'Stop At' Slider component
0, # int | float (numeric value between 0.0 and 2.0) in 'Weight' Slider component
"", # str in 'Type' Radio component
fn_index = 30
)
print(result)`

the error

AttributeError Traceback (most recent call last)
in <cell line: 4>()
2
3 client = Client("https://e1e966928d694b94fa.gradio.live/")
----> 4 result = client.predict(
5 "A man in a boat on a river", # str in 'parameter_10' Textbox component
6 "", # str in 'Negative Prompt' Textbox component

12 frames
/usr/local/lib/python3.10/dist-packages/gradio_client/client.py in predict(self, api_name, fn_index, *args)
390 "Cannot call predict on this function as it may run forever. Use submit instead."
391 )
--> 392 return self.submit(*args, api_name=api_name, fn_index=fn_index).result()
393
394 def new_helper(self, fn_index: int) -> Communicator:

/usr/local/lib/python3.10/dist-packages/gradio_client/client.py in result(self, timeout)
1563 >> 9
1564 """
-> 1565 return super().result(timeout=timeout)
1566
1567 def outputs(self) -> list[tuple | Any]:

/usr/lib/python3.10/concurrent/futures/_base.py in result(self, timeout)
456 raise CancelledError()
457 elif self._state == FINISHED:
--> 458 return self.__get_result()
459 else:
460 raise TimeoutError()

/usr/lib/python3.10/concurrent/futures/_base.py in __get_result(self)
401 if self._exception:
402 try:
--> 403 raise self._exception
404 finally:
405 # Break a reference cycle with the exception in self._exception

/usr/lib/python3.10/concurrent/futures/thread.py in run(self)
56
57 try:
---> 58 result = self.fn(*self.args, **self.kwargs)
59 except BaseException as exc:
60 self.future.set_exception(exc)

/usr/local/lib/python3.10/dist-packages/gradio_client/client.py in _inner(*data)
1236 data = self.serialize(*data)
1237 predictions = _predict(*data)
-> 1238 predictions = self.process_predictions(*predictions)
1239 # Append final output only if not already present
1240 # for consistency between generators and not generators

/usr/local/lib/python3.10/dist-packages/gradio_client/client.py in process_predictions(self, *predictions)
1425 def process_predictions(self, *predictions):
1426 if self.client.serialize:
-> 1427 predictions = self.deserialize(*predictions)
1428 predictions = self.remove_skipped_components(*predictions)
1429 predictions = self.reduce_singleton_output(*predictions)

/usr/local/lib/python3.10/dist-packages/gradio_client/client.py in deserialize(self, *data)
1411 )
1412 outputs = tuple(
-> 1413 [
1414 s.deserialize(
1415 d,

/usr/local/lib/python3.10/dist-packages/gradio_client/client.py in (.0)
1412 outputs = tuple(
1413 [
-> 1414 s.deserialize(
1415 d,
1416 save_dir=self.client.output_dir,

/usr/local/lib/python3.10/dist-packages/gradio_client/serializing.py in deserialize(self, x, save_dir, root_url, hf_token)
205 if x is None or x == "":
206 return None
--> 207 file = utils.decode_base64_to_file(x, dir=save_dir)
208 return file.name
209

/usr/local/lib/python3.10/dist-packages/gradio_client/utils.py in decode_base64_to_file(encoding, file_path, dir, prefix)
716 directory = Path(dir or tempfile.gettempdir()) / secrets.token_hex(20)
717 directory.mkdir(exist_ok=True, parents=True)
--> 718 data, extension = decode_base64_to_binary(encoding)
719 if file_path is not None and prefix is None:
720 filename = Path(file_path).name

/usr/local/lib/python3.10/dist-packages/gradio_client/utils.py in decode_base64_to_binary(encoding)
681
682 def decode_base64_to_binary(encoding: str) -> tuple[bytes, str | None]:
--> 683 extension = get_extension(encoding)
684 data = encoding.rsplit(",", 1)[-1]
685 return base64.b64decode(data), extension

/usr/local/lib/python3.10/dist-packages/gradio_client/utils.py in get_extension(encoding)
627
628 def get_extension(encoding: str) -> str | None:
--> 629 encoding = encoding.replace("audio/wav", "audio/x-wav")
630 type = mimetypes.guess_type(encoding)[0]
631 if type == "audio/flac": # flac is not supported by mimetypes

AttributeError: 'dict' object has no attribute 'replace'