Spaces:
Runtime error
Runtime error
examples
Browse files
app.py
CHANGED
|
@@ -60,7 +60,7 @@ pipe.transformer.__class__.forward = NagWanTransformer3DModel.forward
|
|
| 60 |
|
| 61 |
examples = [
|
| 62 |
["A ginger cat passionately plays a violin with intensity and emotion on a classical concert stage. The background is shrouded in deep darkness. Soft spotlights casts dramatic shadows.", DEFAULT_NAG_NEGATIVE_PROMPT, 11],
|
| 63 |
-
["A red Porsche
|
| 64 |
["Enormous glowing jellyfish float slowly across a sky filled with soft clouds. Their tentacles shimmer with iridescent light as they drift above a peaceful mountain landscape. Magical and dreamlike, captured in a wide shot. Surreal realism style with detailed textures.", DEFAULT_NAG_NEGATIVE_PROMPT, 11],
|
| 65 |
]
|
| 66 |
|
|
@@ -90,7 +90,7 @@ def generate_video(
|
|
| 90 |
target_h = max(MOD_VALUE, (int(height) // MOD_VALUE) * MOD_VALUE)
|
| 91 |
target_w = max(MOD_VALUE, (int(width) // MOD_VALUE) * MOD_VALUE)
|
| 92 |
|
| 93 |
-
num_frames = np.clip(int(round(duration_seconds * FIXED_FPS) + 1), MIN_FRAMES_MODEL, MAX_FRAMES_MODEL)
|
| 94 |
|
| 95 |
current_seed = random.randint(0, MAX_SEED) if randomize_seed else int(seed)
|
| 96 |
|
|
|
|
| 60 |
|
| 61 |
examples = [
|
| 62 |
["A ginger cat passionately plays a violin with intensity and emotion on a classical concert stage. The background is shrouded in deep darkness. Soft spotlights casts dramatic shadows.", DEFAULT_NAG_NEGATIVE_PROMPT, 11],
|
| 63 |
+
["A red vintage Porsche convertible flying over a rugged coastal cliff. Monstrous waves violently crashing against the rocks below. A lighthouse stands tall atop the cliff.", DEFAULT_NAG_NEGATIVE_PROMPT, 11],
|
| 64 |
["Enormous glowing jellyfish float slowly across a sky filled with soft clouds. Their tentacles shimmer with iridescent light as they drift above a peaceful mountain landscape. Magical and dreamlike, captured in a wide shot. Surreal realism style with detailed textures.", DEFAULT_NAG_NEGATIVE_PROMPT, 11],
|
| 65 |
]
|
| 66 |
|
|
|
|
| 90 |
target_h = max(MOD_VALUE, (int(height) // MOD_VALUE) * MOD_VALUE)
|
| 91 |
target_w = max(MOD_VALUE, (int(width) // MOD_VALUE) * MOD_VALUE)
|
| 92 |
|
| 93 |
+
num_frames = np.clip(int(round(int(duration_seconds) * FIXED_FPS) + 1), MIN_FRAMES_MODEL, MAX_FRAMES_MODEL)
|
| 94 |
|
| 95 |
current_seed = random.randint(0, MAX_SEED) if randomize_seed else int(seed)
|
| 96 |
|