prithivMLmods commited on
Commit
b4ff4ab
·
verified ·
1 Parent(s): 210594e

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -6
app.py CHANGED
@@ -12,8 +12,7 @@ import zipfile
12
  from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast
13
 
14
  # Description for the app
15
- DESCRIPTION = """## Flux Realism HPC with Krea Integration
16
- Choose between 'flux.1-dev-realism' for hyper-realistic images or 'flux.1-krea' for creative outputs."""
17
 
18
  # Helper functions
19
  def save_image(img):
@@ -363,7 +362,7 @@ def generate(
363
  zip_images=zip_images,
364
  progress=progress,
365
  )
366
- elif model_choice == "flux.1-krea":
367
  return generate_krea(
368
  prompt=prompt,
369
  seed=seed,
@@ -417,9 +416,9 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
417
  with gr.Row():
418
  # Model choice radio button above additional options
419
  model_choice = gr.Radio(
420
- choices=["flux.1-krea", "flux.1-dev-realism"],
421
  label="Select Model",
422
- value="flux.1-krea"
423
  )
424
 
425
  with gr.Accordion("Additional Options", open=False):
@@ -464,7 +463,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
464
  minimum=0.1,
465
  maximum=20.0,
466
  step=0.1,
467
- value=3.0,
468
  )
469
  num_inference_steps = gr.Slider(
470
  label="Number of inference steps",
 
12
  from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast
13
 
14
  # Description for the app
15
+ DESCRIPTION = """## flux realism hpc/."""
 
16
 
17
  # Helper functions
18
  def save_image(img):
 
362
  zip_images=zip_images,
363
  progress=progress,
364
  )
365
+ elif model_choice == "flux.1-krea-dev":
366
  return generate_krea(
367
  prompt=prompt,
368
  seed=seed,
 
416
  with gr.Row():
417
  # Model choice radio button above additional options
418
  model_choice = gr.Radio(
419
+ choices=["flux.1-krea-dev", "flux.1-dev-realism"],
420
  label="Select Model",
421
+ value="flux.1-krea-dev"
422
  )
423
 
424
  with gr.Accordion("Additional Options", open=False):
 
463
  minimum=0.1,
464
  maximum=20.0,
465
  step=0.1,
466
+ value=4.5,
467
  )
468
  num_inference_steps = gr.Slider(
469
  label="Number of inference steps",