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main/pipeline_flux_rf_inversion.py

@@ -53,7 +53,10 @@ EXAMPLE_DOC_STRING = """
     Examples:
         ```py
         >>> import torch
-        >>> from diffusers import FluxPipeline
+        >>> import requests
+        >>> import PIL
+        >>> from io import BytesIO
+        >>> from diffusers import DiffusionPipeline
 
         >>> pipe = DiffusionPipeline.from_pretrained(
         ...    "black-forest-labs/FLUX.1-dev",
@@ -77,10 +80,7 @@ EXAMPLE_DOC_STRING = """
         ...     image_latents=image_latents,
         ...     latent_image_ids=latent_image_ids,
         ...     start_timestep=0,
-        ...     stop_timestep=.38,
-        ...     num_inference_steps=28,
-        ...     eta=0.9,
-        ...     stop_timestep=.38,
+        ...     stop_timestep=.25,
         ...     num_inference_steps=28,
         ...     eta=0.9,
         ... ).images[0]