RanM commited on
Commit
6706e0b
·
verified ·
1 Parent(s): 532d26b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -2,12 +2,12 @@ import os
2
  import asyncio
3
  import concurrent.futures
4
  from io import BytesIO
5
- from diffusers import AutoPipelineForText2Image
6
  import gradio as gr
7
  from generate_prompts import generate_prompt
8
 
9
  # Initialize model globally
10
- model = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo")
11
 
12
  def generate_image(prompt, prompt_name):
13
  """
@@ -20,7 +20,7 @@ def generate_image(prompt, prompt_name):
20
  """
21
  try:
22
  print(f"Generating image for {prompt_name}")
23
- output = model(prompt=prompt, num_inference_steps=1, guidance_scale=0.0)
24
  if isinstance(output.images, list) and len(output.images) > 0:
25
  image = output.images[0]
26
  buffered = BytesIO()
 
2
  import asyncio
3
  import concurrent.futures
4
  from io import BytesIO
5
+ from diffusers import StableDiffusionPipeline
6
  import gradio as gr
7
  from generate_prompts import generate_prompt
8
 
9
  # Initialize model globally
10
+ model = StableDiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo")
11
 
12
  def generate_image(prompt, prompt_name):
13
  """
 
20
  """
21
  try:
22
  print(f"Generating image for {prompt_name}")
23
+ output = model(prompt=prompt, num_inference_steps=50, guidance_scale=7.5)
24
  if isinstance(output.images, list) and len(output.images) > 0:
25
  image = output.images[0]
26
  buffered = BytesIO()