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app.py

@@ -3,7 +3,7 @@ import numpy as np
 import random
 import spaces
 import torch
-from diffusers import  DiffusionPipeline, FlowMatchEulerDiscreteScheduler, AutoencoderTiny, AutoencoderKL
+from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler, AutoencoderTiny, AutoencoderKL
 from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5TokenizerFast
 from live_preview_helpers import calculate_shift, retrieve_timesteps, flux_pipe_call_that_returns_an_iterable_of_images
 from gradio_imageslider import ImageSlider
@@ -102,7 +102,7 @@ with gr.Blocks(css=css) as demo:
         
         #result = gr.Image(label="Result", show_label=False)
         result = ImageSlider(label="Result", show_label=False, type="pil", slider_color="pink", format="png")
-        result_cmp = gr.Image(label="Result (comparing)", show_label=False, type="pil", format="png", height=256)
+        result_cmp = gr.Image(label="Result (comparing)", show_label=False, type="pil", format="png", height=256, show_download_button=True, show_share_button=False)
         
         with gr.Accordion("Advanced Settings", open=True):
             with gr.Row():

requirements.txt

@@ -1,6 +1,6 @@
 accelerate
 #git+https://github.com/huggingface/diffusers.git
-#git+https://github.com/huggingface/diffusers.git@6b1c4a766b7f83fe06ddb9bbb58c1122072efefegit+https://github.com/John6666cat/diffusers@df825b66433dfb6d7129d9ff1b3a464aafa3a77a
+#git+https://github.com/huggingface/diffusers.git@6b1c4a766b7f83fe06ddb9bbb58c1122072efefegit+https://github.com/John6666cat/diffusers@patch-3
 torch
 transformers==4.42.4
 xformers