test
Browse files
app.py
CHANGED
@@ -80,15 +80,24 @@ class MyClient(discord.Client):
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#-> (stage_1_results, stage_1_param_path, stage_1_result_path)
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# input prompt
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prompt = message.content[12:].strip()
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number_of_images = 4
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random.seed(current_time)
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seed = random.randint(0, 2**32 - 1)
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stage_1_results, stage_1_param_path, stage_1_result_path =
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#stage_1_results, stage_1_param_path, stage_1_result_path = df.predict("gradio written on a wall", "blur", 1,1,7.0, 'smart100',50, api_name="/generate64")
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@@ -137,10 +146,24 @@ class MyClient(discord.Client):
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'''
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# stage 2
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#-> (stage_1_results, stage_1_param_path, stage_1_result_path)
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# input prompt
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prompt = message.content[12:].strip()
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negative_prompt = ''
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seed = 0
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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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stage_1_results, stage_1_param_path, stage_1_result_path = client.predict(
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prompt,
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negative_prompt,
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seed,
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number_of_images,
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guidance_scale,
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custom_timesteps_1,
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number_of_inference_steps,
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api_name='/generate64')
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#stage_1_results, stage_1_param_path, stage_1_result_path = df.predict("gradio written on a wall", "blur", 1,1,7.0, 'smart100',50, api_name="/generate64")
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selected_index_for_stage_2 = 0
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seed_2 = 0
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guidance_scale_2 = 4
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custom_timesteps_2 = 'smart50'
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number_of_inference_steps_2 = 50
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imgif = client.predict(stage_1_result_path,
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selected_index_for_stage_2,
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seed_2,
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guidance_scale_2,
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custom_timesteps_2,
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number_of_inference_steps_2,
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api_name='/upscale256')
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imgif_path = "/tmp/generated_image.png"
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imgif.save(imgif_path)
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with open(imgif_path, 'rb') as f:
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await message.reply(f'Here is the generated image', file=discord.File(f, 'generated_image.png'))
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'''
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# stage 2
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