Create app.py

app.py

@@ -0,0 +1,99 @@
+import gradio as gr
+import json
+from deforum_engine import DeforumRunner
+
+runner = DeforumRunner(device="cpu")
+
+def process(prompts_json, neg, frames, width, height,
+            z, a, tx, ty, stre, noi, 
+            fps, steps, cfg, cadence, 
+            color, border, seed_beh, init_img, 
+            model, lora, sched):
+    try:
+        p_dict = json.loads(prompts_json.replace("'", '"'))
+        prompts = {int(k): v for k, v in p_dict.items()}
+    except Exception as e:
+        yield None, None, None, f"JSON Error: {str(e)}"
+        return
+
+    # Pass exactly 21 args + self
+    yield from runner.render(
+        prompts, neg, int(frames), int(width), int(height),
+        z, a, tx, ty, stre, noi,
+        int(fps), int(steps), float(cfg), int(cadence),
+        color, border, seed_beh, init_img,
+        model, lora, sched
+    )
+
+def stop_gen():
+    runner.stop()
+    return "Stopping..."
+
+css = "#col-container {max_width: 1000px; margin: 0 auto;}"
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🌀 Deforum CPU: Full Control")
+    
+    with gr.Row(elem_id="col-container"):
+        with gr.Column(scale=1):
+            with gr.Accordion("⚙️ Engine", open=False):
+                model = gr.Dropdown(label="Model", value="IDKiro/sdxs-512-dreamshaper", 
+                                    choices=["IDKiro/sdxs-512-dreamshaper", "AlekseyCalvin/acs_model", "runwayml/stable-diffusion-v1-5"])
+                lora = gr.Dropdown(label="LoRA", value="None", 
+                                   choices=["latent-consistency/lcm-lora-sdv1-5", "None"])
+                sched = gr.Dropdown(label="Sampler", value="Euler A", 
+                                    choices=["LCM", "Euler A", "DDIM", "DPM++ 2M"])
+                seed_beh = gr.Dropdown(label="Seed Behavior", value="fixed", choices=["iter", "fixed", "random"])
+                init_img = gr.Image(label="Init Image", type="pil", height=200)
+
+            prompts = gr.Code(label="Prompts (JSON)", language="json", 
+                              value='{\n "0": "a simple black line drawing of a cat, white background",\n "30": "a simple black line drawing of a dog, white background"\n}')
+            neg = gr.Textbox(label="Negative Prompt", value="complex, realistic, photo, blur")
+            
+            with gr.Row():
+                frames = gr.Number(label="Frames", value=60)
+                fps = gr.Number(label="FPS", value=12)
+            
+            with gr.Row():
+                width = gr.Slider(256, 512, value=256, step=64, label="Width")
+                height = gr.Slider(256, 512, value=256, step=64, label="Height")
+                
+            with gr.Row():
+                steps = gr.Slider(1, 50, value=3, step=1, label="Steps")
+                cfg = gr.Slider(0.0, 20.0, value=1.0, step=0.1, label="CFG Scale (0-2 for SDXS/LCM)")
+                cadence = gr.Slider(1, 8, value=1, step=1, label="Cadence")
+
+            with gr.Accordion("🎬 Motion & Coherence", open=True):
+                with gr.Row():
+                    color = gr.Dropdown(label="Color Match", value="LAB", choices=["None", "LAB", "HSV", "RGB"])
+                    border = gr.Dropdown(label="Border Mode", value="Reflect", choices=["Reflect", "Replicate", "Wrap", "Black"])
+                
+                z = gr.Textbox(label="Zoom", value="0:(1.0)")
+                a = gr.Textbox(label="Angle", value="0:(0)")
+                tx = gr.Textbox(label="Translation X", value="0:(0)")
+                ty = gr.Textbox(label="Translation Y", value="0:(0)")
+                stre = gr.Textbox(label="Strength", value="0:(0.35)")
+                noi = gr.Textbox(label="Noise", value="0:(0.0)")
+                
+            with gr.Row():
+                btn = gr.Button("GENERATE", variant="primary", scale=2)
+                stop = gr.Button("STOP", variant="stop", scale=1)
+            
+        with gr.Column(scale=1):
+            status = gr.Markdown("Ready")
+            preview = gr.Image(label="Last Frame")
+            video_out = gr.Video(label="Rendered Video")
+            zip_out = gr.File(label="Frames ZIP")
+
+    inputs = [
+        prompts, neg, frames, width, height,
+        z, a, tx, ty, stre, noi,
+        fps, steps, cfg, cadence,
+        color, border, seed_beh, init_img,
+        model, lora, sched
+    ]
+    
+    btn.click(process, inputs=inputs, outputs=[preview, video_out, zip_out, status])
+    stop.click(stop_gen, outputs=status)
+
+demo.queue().launch(css=css, theme=gr.themes.Glass())