Add example usage to README and enhance console output in generate.py with ANSI colors

README.md

@@ -115,6 +115,16 @@ mlx_video/
         └── video_vae/      # VAE encoder/decoder
 ```
 
+# Examples
+
+Here's an example result generated by MLX-Video:
+
+```sh
+uv run mlx_video.generate --prompt "Two dogs of the poodle breed wearing sunglasses, close up, cinematic, sunset" -n 100 --width 768
+```
+
+<video src="https://github.com/Blaizzy/mlx-video/raw/main/examples/poodles.mp4" controls width="512"></video>
+
 ## License
 
 MIT

mlx_video/generate.py

@@ -6,6 +6,18 @@ import mlx.core as mx
 import numpy as np
 from PIL import Image
 
+# ANSI color codes
+class Colors:
+    CYAN = "\033[96m"
+    BLUE = "\033[94m"
+    GREEN = "\033[92m"
+    YELLOW = "\033[93m"
+    RED = "\033[91m"
+    MAGENTA = "\033[95m"
+    BOLD = "\033[1m"
+    DIM = "\033[2m"
+    RESET = "\033[0m"
+
 from mlx_video.models.ltx.config import LTXModelConfig, LTXModelType, LTXRopeType
 from mlx_video.models.ltx.ltx import LTXModel
 from mlx_video.models.ltx.transformer import Modality
@@ -163,8 +175,8 @@ def generate_video(
     assert height % 64 == 0, f"Height must be divisible by 64, got {height}"
     assert width % 64 == 0, f"Width must be divisible by 64, got {width}"
 
-    print(f"Generating {width}x{height} video with {num_frames} frames")
+    print(f"{Colors.BOLD}{Colors.CYAN}🎬 Generating {width}x{height} video with {num_frames} frames{Colors.RESET}")
-    print(f"Prompt: {prompt[:80]}{'...' if len(prompt) > 80 else ''}")
+    print(f"{Colors.DIM}Prompt: {prompt[:80]}{'...' if len(prompt) > 80 else ''}{Colors.RESET}")
 
     # Get model path
     model_path = get_model_path(model_repo)
@@ -177,7 +189,7 @@ def generate_video(
     mx.random.seed(seed)
 
     # Load text encoder
-    print("Loading text encoder...")
+    print(f"{Colors.BLUE}📝 Loading text encoder...{Colors.RESET}")
     from mlx_video.models.ltx.text_encoder import LTX2TextEncoder
     text_encoder = LTX2TextEncoder(model_path=str(model_path))
     text_encoder.load(str(model_path))
@@ -190,7 +202,7 @@ def generate_video(
     mx.clear_cache()
 
     # Load transformer
-    print("Loading transformer...")
+    print(f"{Colors.BLUE}🤖 Loading transformer...{Colors.RESET}")
     raw_weights = mx.load(str(model_path / 'ltx-2-19b-distilled.safetensors'))
     sanitized = sanitize_transformer_weights(raw_weights)
 
@@ -216,7 +228,7 @@ def generate_video(
     mx.eval(transformer.parameters())
 
     # Stage 1: Generate at half resolution
-    print(f"Stage 1: Generating at {width//2}x{height//2} (8 steps)...")
+    print(f"{Colors.YELLOW}⚡ Stage 1: Generating at {width//2}x{height//2} (8 steps)...{Colors.RESET}")
     mx.random.seed(seed)
     latents = mx.random.normal((1, 128, latent_frames, stage1_h, stage1_w))
     mx.eval(latents)
@@ -227,7 +239,7 @@ def generate_video(
     latents = denoise(latents, positions, text_embeddings, transformer, STAGE_1_SIGMAS)
 
     # Upsample latents
-    print("Upsampling latents 2x...")
+    print(f"{Colors.MAGENTA}🔍 Upsampling latents 2x...{Colors.RESET}")
     upsampler = load_upsampler(str(model_path / 'ltx-2-spatial-upscaler-x2-1.0.safetensors'))
     mx.eval(upsampler.parameters())
 
@@ -243,7 +255,7 @@ def generate_video(
     mx.clear_cache()
 
     # Stage 2: Refine at full resolution
-    print(f"Stage 2: Refining at {width}x{height} (3 steps)...")
+    print(f"{Colors.YELLOW}⚡ Stage 2: Refining at {width}x{height} (3 steps)...{Colors.RESET}")
     positions = create_position_grid(1, latent_frames, stage2_h, stage2_w)
     mx.eval(positions)
 
@@ -259,7 +271,7 @@ def generate_video(
     mx.clear_cache()
 
     # Decode to video
-    print("Decoding video...")
+    print(f"{Colors.BLUE}🎞️  Decoding video...{Colors.RESET}")
     video = vae_decoder(latents)
     mx.eval(video)
     mx.clear_cache()
@@ -283,19 +295,19 @@ def generate_video(
         for frame in video_np:
             out.write(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
         out.release()
-        print(f"Saved video to {output_path}")
+        print(f"{Colors.GREEN}✅ Saved video to {output_path}{Colors.RESET}")
     except Exception as e:
-        print(f"Could not save video: {e}")
+        print(f"{Colors.RED}❌ Could not save video: {e}{Colors.RESET}")
 
     if save_frames:
         frames_dir = output_path.parent / f"{output_path.stem}_frames"
         frames_dir.mkdir(exist_ok=True)
         for i, frame in enumerate(video_np):
             Image.fromarray(frame).save(frames_dir / f"frame_{i:04d}.png")
-        print(f"Saved {len(video_np)} frames to {frames_dir}")
+        print(f"{Colors.GREEN}✅ Saved {len(video_np)} frames to {frames_dir}{Colors.RESET}")
 
     elapsed = time.time() - start_time
-    print(f"Done! Generated in {elapsed:.1f}s ({elapsed/num_frames:.2f}s/frame)")
+    print(f"{Colors.BOLD}{Colors.GREEN}🎉 Done! Generated in {elapsed:.1f}s ({elapsed/num_frames:.2f}s/frame){Colors.RESET}")
 
     return video_np