linoyts HF Staff commited on
Commit
84bff9f
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1 Parent(s): 433ae54

ui changes part 1

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Files changed (1) hide show
  1. app.py +43 -19
app.py CHANGED
@@ -1,8 +1,6 @@
1
  import gradio as gr
2
  import spaces
3
  import torch
4
- # from pipeline_ltx_condition import LTXVideoCondition, LTXConditionPipeline
5
- # from diffusers import LTXLatentUpsamplePipeline
6
  from diffusers import LTXConditionPipeline, LTXLatentUpsamplePipeline
7
  from diffusers.pipelines.ltx.pipeline_ltx_condition import LTXVideoCondition
8
  from diffusers.utils import export_to_video, load_video, load_image
@@ -26,8 +24,28 @@ def round_to_nearest_resolution_acceptable_by_vae(height, width):
26
  width = width - (width % pipe.vae_spatial_compression_ratio)
27
  print("after rounding",height, width)
28
  return height, width
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
29
 
30
- @spaces.GPU
31
  def generate(prompt,
32
  negative_prompt,
33
  image,
@@ -47,12 +65,18 @@ def generate(prompt,
47
  if randomize_seed:
48
  seed = random.randint(0, MAX_SEED)
49
 
 
50
  target_frames_ideal = duration_input * FPS
51
- num_frames = round(target_frames_ideal)
52
- if num_frames < 1:
53
- num_frames = 1
 
 
 
 
 
 
54
 
55
- print(mode)
56
  if mode == "video-to-video" and (video is not None):
57
  video = load_video(video)[:frames_to_use]
58
  condition = True
@@ -175,9 +199,9 @@ with gr.Blocks(css=css, theme=gr.themes.Ocean()) as demo:
175
  video_n_hidden = gr.Textbox(label="video_n", visible=False, value=None)
176
  t2v_prompt = gr.Textbox(label="Prompt", value="A majestic dragon flying over a medieval castle", lines=3)
177
  t2v_button = gr.Button("Generate Text-to-Video", variant="primary")
178
- with gr.Tab("video-to-video", visible=False) as video_tab:
179
  image_v_hidden = gr.Textbox(label="image_v", visible=False, value=None)
180
- video_v2v = gr.Video(label="Input Video", sources=["upload", "webcam"]) # type defaults to filepath
181
  frames_to_use = gr.Slider(label="Frames to use from input video", minimum=9, maximum=MAX_NUM_FRAMES, value=9, step=8, info="Number of initial frames to use for conditioning/transformation. Must be N*8+1.")
182
  v2v_prompt = gr.Textbox(label="Prompt", value="Change the style to cinematic anime", lines=3)
183
  v2v_button = gr.Button("Generate Video-to-Video", variant="primary")
@@ -205,7 +229,7 @@ with gr.Blocks(css=css, theme=gr.themes.Ocean()) as demo:
205
  with gr.Row():
206
  guidance_scale= gr.Slider(label="guidance scale", minimum=0, maximum=10, value=1, step=1)
207
  steps = gr.Slider(label="Steps", minimum=1, maximum=30, value=8, step=1)
208
- num_frames = gr.Slider(label="# frames", minimum=1, maximum=161, value=96, step=1)
209
  with gr.Row():
210
  height = gr.Slider(label="height", value=512, step=1, maximum=2048)
211
  width = gr.Slider(label="width", value=704, step=1, maximum=2048)
@@ -213,8 +237,8 @@ with gr.Blocks(css=css, theme=gr.themes.Ocean()) as demo:
213
  t2v_button.click(fn=generate,
214
  inputs=[t2v_prompt,
215
  negative_prompt,
216
- image,
217
- video,
218
  height,
219
  width,
220
  gr.State("text-to-video"),
@@ -222,14 +246,14 @@ with gr.Blocks(css=css, theme=gr.themes.Ocean()) as demo:
222
  num_frames,
223
  frames_to_use,
224
  seed,
225
- randomize_seed,guidance_scale, improve_texture],
226
  outputs=[output])
227
 
228
  i2v_button.click(fn=generate,
229
  inputs=[i2v_prompt,
230
  negative_prompt,
231
- image,
232
- video,
233
  height,
234
  width,
235
  gr.State("image-to-video"),
@@ -237,14 +261,14 @@ with gr.Blocks(css=css, theme=gr.themes.Ocean()) as demo:
237
  num_frames,
238
  frames_to_use,
239
  seed,
240
- randomize_seed,guidance_scale, improve_texture],
241
  outputs=[output])
242
 
243
  v2v_button.click(fn=generate,
244
  inputs=[v2v_prompt,
245
  negative_prompt,
246
- image,
247
- video,
248
  height,
249
  width,
250
  gr.State("video-to-video"),
@@ -252,7 +276,7 @@ with gr.Blocks(css=css, theme=gr.themes.Ocean()) as demo:
252
  num_frames,
253
  frames_to_use,
254
  seed,
255
- randomize_seed,guidance_scale, improve_texture],
256
  outputs=[output])
257
 
258
 
 
1
  import gradio as gr
2
  import spaces
3
  import torch
 
 
4
  from diffusers import LTXConditionPipeline, LTXLatentUpsamplePipeline
5
  from diffusers.pipelines.ltx.pipeline_ltx_condition import LTXVideoCondition
6
  from diffusers.utils import export_to_video, load_video, load_image
 
24
  width = width - (width % pipe.vae_spatial_compression_ratio)
25
  print("after rounding",height, width)
26
  return height, width
27
+
28
+ def get_duration(prompt,
29
+ negative_prompt,
30
+ image,
31
+ video,
32
+ height,
33
+ width,
34
+ mode,
35
+ steps,
36
+ num_frames,
37
+ frames_to_use,
38
+ seed,
39
+ randomize_seed,
40
+ guidance_scale,
41
+ duration_input,
42
+ improve_texture, progress):
43
+ if duration_input > 7:
44
+ return 75
45
+ else:
46
+ return 60
47
 
48
+ @spaces.GPU(duration=get_duration)
49
  def generate(prompt,
50
  negative_prompt,
51
  image,
 
65
  if randomize_seed:
66
  seed = random.randint(0, MAX_SEED)
67
 
68
+ # calculate number of frames based on the duration input in seconds
69
  target_frames_ideal = duration_input * FPS
70
+ target_frames_rounded = round(target_frames_ideal)
71
+ if target_frames_rounded < 1:
72
+ target_frames_rounded = 1
73
+
74
+ n_val = round((float(target_frames_rounded) - 1.0) / 8.0)
75
+ actual_num_frames = int(n_val * 8 + 1)
76
+
77
+ actual_num_frames = max(9, actual_num_frames)
78
+ num_frames = min(MAX_NUM_FRAMES, actual_num_frames)
79
 
 
80
  if mode == "video-to-video" and (video is not None):
81
  video = load_video(video)[:frames_to_use]
82
  condition = True
 
199
  video_n_hidden = gr.Textbox(label="video_n", visible=False, value=None)
200
  t2v_prompt = gr.Textbox(label="Prompt", value="A majestic dragon flying over a medieval castle", lines=3)
201
  t2v_button = gr.Button("Generate Text-to-Video", variant="primary")
202
+ with gr.Tab("video-to-video") as video_tab:
203
  image_v_hidden = gr.Textbox(label="image_v", visible=False, value=None)
204
+ video_v2v = gr.Video(label="Input Video")
205
  frames_to_use = gr.Slider(label="Frames to use from input video", minimum=9, maximum=MAX_NUM_FRAMES, value=9, step=8, info="Number of initial frames to use for conditioning/transformation. Must be N*8+1.")
206
  v2v_prompt = gr.Textbox(label="Prompt", value="Change the style to cinematic anime", lines=3)
207
  v2v_button = gr.Button("Generate Video-to-Video", variant="primary")
 
229
  with gr.Row():
230
  guidance_scale= gr.Slider(label="guidance scale", minimum=0, maximum=10, value=1, step=1)
231
  steps = gr.Slider(label="Steps", minimum=1, maximum=30, value=8, step=1)
232
+ num_frames = gr.Slider(label="# frames", minimum=1, maximum=161, value=96, step=1, visible=False)
233
  with gr.Row():
234
  height = gr.Slider(label="height", value=512, step=1, maximum=2048)
235
  width = gr.Slider(label="width", value=704, step=1, maximum=2048)
 
237
  t2v_button.click(fn=generate,
238
  inputs=[t2v_prompt,
239
  negative_prompt,
240
+ image_n_hidden,
241
+ video_n_hidden,
242
  height,
243
  width,
244
  gr.State("text-to-video"),
 
246
  num_frames,
247
  frames_to_use,
248
  seed,
249
+ randomize_seed,guidance_scale, duration_input, improve_texture],
250
  outputs=[output])
251
 
252
  i2v_button.click(fn=generate,
253
  inputs=[i2v_prompt,
254
  negative_prompt,
255
+ image_i2v,
256
+ video_i_hidden,
257
  height,
258
  width,
259
  gr.State("image-to-video"),
 
261
  num_frames,
262
  frames_to_use,
263
  seed,
264
+ randomize_seed,guidance_scale, duration_input, improve_texture],
265
  outputs=[output])
266
 
267
  v2v_button.click(fn=generate,
268
  inputs=[v2v_prompt,
269
  negative_prompt,
270
+ image_v_hidden,
271
+ video_v2v,
272
  height,
273
  width,
274
  gr.State("video-to-video"),
 
276
  num_frames,
277
  frames_to_use,
278
  seed,
279
+ randomize_seed,guidance_scale, duration_input, improve_texture],
280
  outputs=[output])
281
 
282