Update

app.py

@@ -28,20 +28,25 @@ def infer(
     num_inference_steps: int = 28,
     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 [dev] model.
+    """Generate an image from a text prompt using the FLUX.1 [dev] model.
+
+    Note:
+        - Prompts must be written in English. Other languages are not currently supported.
+        - Prompts are limited to 77 tokens due to CLIP tokenizer constraints.
 
     Args:
-        prompt: The prompt to generate an image from.
-        seed: The seed to use for the image generation.
-        randomize_seed: Whether to randomize the seed.
-        width: The width of the image. Defaults to 1024.
-        height: The height of the image. Defaults to 1024.
-        guidance_scale: The guidance scale to use for the image generation. Defaults to 3.5.
-        num_inference_steps: The number of inference steps to use for the image generation. Defaults to 28.
-        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 to guide the image generation. Limited to 77 tokens.
+        seed: The seed value used for reproducible image generation.
+        randomize_seed: If True, overrides the seed with a randomly generated one.
+        width: Width of the output image in pixels. Defaults to 1024.
+        height: Height of the output image in pixels. Defaults to 1024.
+        guidance_scale: Controls how strongly the model follows the prompt.
+            Higher values lead to images more closely aligned with the prompt. Defaults to 3.5.
+        num_inference_steps: Number of denoising steps during generation. Higher values can improve quality. Defaults to 28.
+        progress: (Internal) Progress tracker for UI integration; should not be manually set by users.
 
     Returns:
-        A tuple containing the generated image and the seed.
+        A tuple containing the generated image and the seed value used.
     """
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)  # noqa: S311