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Update app.py
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app.py
CHANGED
@@ -1,20 +1,23 @@
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import gradio as gr
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from diffusers import AutoPipelineForText2Image
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from generate_propmts import generate_prompt
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from PIL import Image
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import asyncio
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import traceback
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# Load the model
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model = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo")
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async def generate_image(prompt):
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try:
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num_inference_steps =
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output = await asyncio.to_thread(
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model,
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prompt=prompt,
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num_inference_steps=num_inference_steps,
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guidance_scale=0.0,
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output_type="pil"
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)
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@@ -26,7 +29,7 @@ async def generate_image(prompt):
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print(f"Error generating image: {e}")
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traceback.print_exc()
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return None
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async def inference(sentence_mapping, character_dict, selected_style):
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images = []
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import gradio as gr
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from diffusers import AutoPipelineForText2Image, EulerAncestralDiscreteScheduler
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from generate_propmts import generate_prompt
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from PIL import Image
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import asyncio
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import traceback
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# Load the model with a modified scheduler
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model = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo")
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model.scheduler = EulerAncestralDiscreteScheduler.from_config(model.scheduler.config)
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model.scheduler.config.prediction_type = "epsilon" # Adjust prediction_type
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async def generate_image(prompt):
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try:
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num_inference_steps = 25 # Or your desired value
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output = await asyncio.to_thread(
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model,
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prompt=prompt,
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num_inference_steps=num_inference_steps,
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guidance_scale=0.0,
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output_type="pil"
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)
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print(f"Error generating image: {e}")
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traceback.print_exc()
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return None
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async def inference(sentence_mapping, character_dict, selected_style):
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images = []
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