Yaron Koresh commited on
Commit
011a20c
·
verified ·
1 Parent(s): c5d0af0

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +9 -16
app.py CHANGED
@@ -23,13 +23,12 @@ import jax
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  import jax.numpy as jnp
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  last_motion=None
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- fps=20
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- time=16
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  device = "cuda"
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  dtype = torch.float16
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  result=[]
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  step = 2
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- progress=gr.Progress()
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  css="""
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  input, input::placeholder {
@@ -72,9 +71,9 @@ function custom(){
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  }
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  """
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- def forest_schnell():
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- PIPE = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, token=os.getenv("hf_token")).to("cuda")
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- return PIPE
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79
  def translate(text,lang):
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  if text == None or lang == None:
@@ -117,10 +116,6 @@ def translate(text,lang):
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  print(ret)
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  return ret
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- def progress_callback(i, t, z):
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- global progress
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- progress((i+1, step))
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-
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  def generate_random_string(length):
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  characters = string.ascii_letters + string.digits
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  return ''.join(random.choice(characters) for _ in range(length))
@@ -131,7 +126,6 @@ def Piper(name,positive_prompt,negative,motion):
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  global fps
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  global time
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  global last_motion
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- global progress
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  global base
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  global device
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@@ -142,7 +136,7 @@ def Piper(name,positive_prompt,negative,motion):
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  pipe.set_adapters(["motion"], [0.7])
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  last_motion = motion
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- out = pipe(
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  positive_prompt,
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  negative_prompt=negative,
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  height=1024,
@@ -152,9 +146,6 @@ def Piper(name,positive_prompt,negative,motion):
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  num_frames=(fps*time)
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  )
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- export_to_gif(out.frames[0],name,fps=fps)
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- return name
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-
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  def infer(pm):
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  print("infer: started")
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@@ -167,7 +158,9 @@ def infer(pm):
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  _do.append(f'{p1}')
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  posi = " ".join(_do)+neg
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- return Piper(name,posi,neg,pm["m"])
 
 
171
 
172
  def run(m,p1,p2,*result):
173
 
 
23
  import jax.numpy as jnp
24
 
25
  last_motion=None
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+ fps=10
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+ time=2
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  device = "cuda"
29
  dtype = torch.float16
30
  result=[]
31
  step = 2
 
32
 
33
  css="""
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  input, input::placeholder {
 
71
  }
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  """
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+ #def forest_schnell():
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+ # PIPE = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, token=os.getenv("hf_token")).to("cuda")
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+ # return PIPE
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78
  def translate(text,lang):
79
  if text == None or lang == None:
 
116
  print(ret)
117
  return ret
118
 
 
 
 
 
119
  def generate_random_string(length):
120
  characters = string.ascii_letters + string.digits
121
  return ''.join(random.choice(characters) for _ in range(length))
 
126
  global fps
127
  global time
128
  global last_motion
 
129
  global base
130
  global device
131
 
 
136
  pipe.set_adapters(["motion"], [0.7])
137
  last_motion = motion
138
 
139
+ return pipe(
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  positive_prompt,
141
  negative_prompt=negative,
142
  height=1024,
 
146
  num_frames=(fps*time)
147
  )
148
 
 
 
 
149
  def infer(pm):
150
  print("infer: started")
151
 
 
158
  _do.append(f'{p1}')
159
  posi = " ".join(_do)+neg
160
 
161
+ out = Piper(name,posi,neg,pm["m"])
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+ export_to_gif(out.frames[0],name,fps=fps)
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+ return name
164
 
165
  def run(m,p1,p2,*result):
166