Upload app.py

app.py

@@ -7,7 +7,7 @@ from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler, Autoen
 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
-from PIL import Image, ImageDraw
+from PIL import Image, ImageDraw, ImageFont
 
 dtype = torch.bfloat16
 #model_id = "black-forest-labs/FLUX.1-dev"
@@ -29,6 +29,7 @@ def get_cmp_image(im1: Image.Image, im2: Image.Image, sigmas: float):
     dst = Image.new('RGB', (im1.width + im2.width, im1.height))
     dst.paste(im1.convert('RGB'), (0, 0))
     dst.paste(im2.convert('RGB'), (im1.width, 0))
+    font = ImageFont.truetype('/usr/share/fonts/truetype/freefont/FreeMono.ttf', 36, encoding='unic')
     draw = ImageDraw.Draw(dst)
     draw.text((64, 64), 'Default Flux', 'red')
     draw.text((im1.width + 64, 64), f'Sigmas * factor {sigmas}', 'red')