Update

app.py

@@ -26,19 +26,23 @@ def infer(
     num_inference_steps: int = 4,
     progress: gr.Progress = gr.Progress(track_tqdm=True),  # noqa: ARG001, B008
 ) -> tuple[PIL.Image.Image, int]:
-    """Generate an image from a prompt using the FLUX.1 [schnell] model.
+    """Generate an image from a text prompt using the FLUX.1 [schnell] model.
+
+    Note:
+        - Prompts must be in English. Other languages are not currently supported.
+        - Prompts are limited to a maximum of 77 tokens, due to the CLIP tokenizer constraint.
 
     Args:
-        prompt: The prompt to generate an image from.
-        seed: The seed to use for the random number generator.
-        randomize_seed: Whether to randomize the seed.
-        width: The width of the image to generate. Defaults to 1024.
-        height: The height of the image to generate. Defaults to 1024.
-        num_inference_steps: The number of inference steps to use. Defaults to 4.
-        progress: Internal parameter used to display progress in the UI. This should not be set manually by the user.
+        prompt: A text prompt in English used to guide the image generation. Limited to 77 tokens.
+        seed: The seed used for deterministic random number generation.
+        randomize_seed: If True, a new random seed will be used instead of the one provided.
+        width: Width of the generated image in pixels. Defaults to 1024.
+        height: Height of the generated image in pixels. Defaults to 1024.
+        num_inference_steps: Number of inference steps to perform. A higher value may improve image quality. Defaults to 4.
+        progress: (Internal) Used to display progress in the UI; should not be modified by the user.
 
     Returns:
-        A tuple containing the generated image and the seed.
+        A tuple containing the generated image and the seed used.
     """
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)  # noqa: S311