[revert]
Browse files- deepfloydif.py +42 -25
deepfloydif.py
CHANGED
@@ -30,7 +30,6 @@ async def deepfloydif_stage_1_inference(prompt):
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pass
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else:
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file_paths = job.outputs()
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file_paths = file_paths[0]
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return file_paths
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def deepfloydif_stage_2_inference(index, stage_1_result_path):
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@@ -60,32 +59,50 @@ async def deepfloydif_stage_1(interaction, prompt, client):
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dfif_command_message_id = message.id # used for updating the 'status' of our generations using reaction emojis
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await thread.send(f'{interaction.user.mention} Generating images in thread, can take ~1 minute...')
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png_files = list(glob.glob(f"{stage_1_results}/**/*.png"))
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if png_files:
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# take all 4 images and combine them into one large 2x2 image (similar to Midjourney)
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png_file_index = 0
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images = load_image(png_files, stage_1_results, png_file_index)
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combined_image = Image.new('RGB', (images[0].width * 2, images[0].height * 2))
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combined_image.paste(images[0], (0, 0))
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combined_image.paste(images[1], (images[0].width, 0))
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combined_image.paste(images[2], (0, images[0].height))
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combined_image.paste(images[3], (images[0].width, images[0].height))
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combined_image_path = os.path.join(stage_1_results, f'{partial_path}{dfif_command_message_id}.png')
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combined_image.save(combined_image_path)
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with open(combined_image_path, 'rb') as f:
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combined_image_dfif = await thread.send(f'{interaction.user.mention} React with the image number you want to upscale!', file=discord.File(f, f'{partial_path}{dfif_command_message_id}.png'))
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emoji_list = ['↖️', '↗️', '↙️', '↘️']
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await react_1234(emoji_list, combined_image_dfif)
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else:
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-
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except Exception as e:
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print(f"Error: {e}")
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pass
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else:
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file_paths = job.outputs()
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return file_paths
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def deepfloydif_stage_2_inference(index, stage_1_result_path):
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dfif_command_message_id = message.id # used for updating the 'status' of our generations using reaction emojis
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await thread.send(f'{interaction.user.mention} Generating images in thread, can take ~1 minute...')
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'''
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loop = asyncio.get_running_loop()
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result = await loop.run_in_executor(None, deepfloydif_stage_1_inference, prompt)
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stage_1_results = result[0]
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stage_1_result_path = result[2]
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'''
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negative_prompt = ''
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seed = random.randint(0, 1000)
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number_of_images = 4
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guidance_scale = 7
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custom_timesteps_1 = 'smart50'
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number_of_inference_steps = 50
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job = deepfloydif_client.submit(prompt, negative_prompt, seed, number_of_images, guidance_scale, custom_timesteps_1, number_of_inference_steps, api_name='/generate64') # This is not blocking, similar to run_in_executor (but better)
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while job.done() is False:
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pass
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else:
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file_paths = job.outputs()
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file_paths = file_paths[0]
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stage_1_results = file_paths[0]
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stage_1_result_path = file_paths[2]
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partial_path = pathlib.Path(stage_1_result_path).name
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png_files = list(glob.glob(f"{stage_1_results}/**/*.png"))
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if png_files:
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# take all 4 images and combine them into one large 2x2 image (similar to Midjourney)
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png_file_index = 0
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images = load_image(png_files, stage_1_results, png_file_index)
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combined_image = Image.new('RGB', (images[0].width * 2, images[0].height * 2))
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combined_image.paste(images[0], (0, 0))
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combined_image.paste(images[1], (images[0].width, 0))
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combined_image.paste(images[2], (0, images[0].height))
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combined_image.paste(images[3], (images[0].width, images[0].height))
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combined_image_path = os.path.join(stage_1_results, f'{partial_path}{dfif_command_message_id}.png')
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combined_image.save(combined_image_path)
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with open(combined_image_path, 'rb') as f:
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combined_image_dfif = await thread.send(f'{interaction.user.mention} React with the image number you want to upscale!', file=discord.File(f, f'{partial_path}{dfif_command_message_id}.png'))
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emoji_list = ['↖️', '↗️', '↙️', '↘️']
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await react_1234(emoji_list, combined_image_dfif)
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else:
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await thread.send(f'{interaction.user.mention} No PNG files were found, cannot post them!')
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except Exception as e:
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print(f"Error: {e}")
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