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Update app.py
Browse files
app.py
CHANGED
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@@ -18,19 +18,7 @@ current_outputs = []
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current_page = 0
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page_size = 10
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#
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DEFAULT_SETTINGS = {
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"model_id": "048b4ea3-5586-47ed-900f-f4341c96bdb2", # SDXL 1.0
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"width": 1024,
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"height": 1024,
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"num_outputs": 1,
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"guidance_scale": 7.5,
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"inference_steps": 30,
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"scheduler_id": "euler",
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"seed": None
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}
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# Get available models for dropdown
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def get_model_list():
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"""Get list of models for dropdown"""
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try:
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@@ -40,31 +28,39 @@ def get_model_list():
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models = response.json().get('models', [])
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# Sort: default first, then by name
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models.sort(key=lambda x: (not x.get('is_default', False), x.get('name', '')))
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return [(m['name'], m['id']) for m in models]
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except:
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# Get schedulers for dropdown
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def get_scheduler_list():
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"""Get list of schedulers"""
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return [
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("Euler", "
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("Euler A", "
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("DDIM", "
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("DPMSolver++", "
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("DPM++ 2M Karras", "
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("DPM++ SDE", "
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("DPM++ SDE Karras", "
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("Heun", "
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("LMS", "
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("LMS Karras", "
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]
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# Initialize model and scheduler lists
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MODELS = get_model_list()
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SCHEDULERS = get_scheduler_list()
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# ========== MODELS TAB ==========
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def get_models():
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"""Fetch and display available models"""
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@@ -102,13 +98,17 @@ def get_models():
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return f"❌ Error: {str(e)}", "No data"
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# ========== GENERATE TAB ==========
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def generate_image(prompt, negative_prompt,
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num_outputs, guidance_scale, inference_steps,
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"""Generate images using StableCog API"""
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try:
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url = f'{API_HOST}/v1/image/generation/create'
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# Prepare request data
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data = {
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"prompt": prompt,
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@@ -136,14 +136,20 @@ def generate_image(prompt, negative_prompt, model_id, width, height,
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if prompt_strength is not None:
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data["prompt_strength"] = float(prompt_strength)
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# Make API request
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response = requests.post(
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url,
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data=json.dumps(
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headers=headers,
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timeout=30 # Longer timeout for generation
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)
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if response.status_code == 200:
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result = response.json()
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outputs = result.get('outputs', [])
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@@ -178,33 +184,22 @@ def generate_image(prompt, negative_prompt, model_id, width, height,
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for key, value in settings.items():
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display_text += f" {key}: {value}\n"
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return display_text, gallery_html, str(result)
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else:
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error_msg = f"❌ Generation failed: {response.status_code}"
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-
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except Exception as e:
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error_msg = f"❌ Error: {str(e)}"
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return error_msg, "",
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# ========== OUTPUTS TAB ==========
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def fetch_outputs():
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"""Fetch outputs from API"""
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global current_outputs
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try:
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url = f'{API_HOST}/v1/image/generation/outputs'
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response = requests.get(url, headers=headers, timeout=10)
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if response.status_code == 200:
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data = response.json()
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current_outputs = data.get('outputs', [])
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return data
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else:
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return None
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except:
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return None
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def create_gallery_html(image_urls, title="Gallery"):
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"""Create HTML gallery with lightbox"""
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html = f"""
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html += "</div>"
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return html
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def update_outputs_display():
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"""Update outputs display with current page"""
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global current_outputs, current_page, page_size
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@@ -517,27 +528,25 @@ with gr.Blocks(title="StableCog Dashboard", theme=gr.themes.Soft()) as demo:
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gr.Markdown("### ⚙️ Generation Settings")
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with gr.Row():
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label="Model",
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choices=[m[0] for m in MODELS],
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value=
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)
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model_map = {m[0]: m[1] for m in MODELS}
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with gr.Row():
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width = gr.Slider(
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label="Width",
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minimum=256,
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maximum=1024,
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value=
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step=8
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)
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height = gr.Slider(
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label="Height",
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minimum=256,
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maximum=1024,
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value=
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step=8
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)
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label="Guidance Scale",
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minimum=1.0,
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maximum=20.0,
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value=7.
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step=0.5
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)
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)
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with gr.Row():
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label="Scheduler",
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choices=[s[0] for s in SCHEDULERS],
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value=
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)
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# Store actual scheduler IDs
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scheduler_map = {s[0]: s[1] for s in SCHEDULERS}
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seed = gr.Textbox(
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label="Seed (Optional)",
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)
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# Connect generate button
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def on_generate(prompt, negative_prompt, model_name, width, height,
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num_outputs, guidance_scale, inference_steps,
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scheduler_name, seed, init_image_url, prompt_strength):
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# Get actual IDs from maps
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actual_model_id = model_map.get(model_name, MODELS[0][1] if MODELS else DEFAULT_SETTINGS["model_id"])
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actual_scheduler_id = scheduler_map.get(scheduler_name, "euler")
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return generate_image(
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prompt, negative_prompt, actual_model_id, width, height,
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num_outputs, guidance_scale, inference_steps,
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actual_scheduler_id, seed, init_image_url, prompt_strength
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)
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generate_btn.click(
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inputs=[
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prompt, negative_prompt,
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num_outputs, guidance_scale, inference_steps,
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],
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outputs=[generate_output, generate_gallery, generate_raw]
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)
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current_page = 0
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page_size = 10
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# ========== MODEL AND SCHEDULER MANAGEMENT ==========
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def get_model_list():
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"""Get list of models for dropdown"""
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try:
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models = response.json().get('models', [])
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# Sort: default first, then by name
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models.sort(key=lambda x: (not x.get('is_default', False), x.get('name', '')))
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return [(f"{m['name']}", m['id']) for m in models]
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except Exception as e:
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print(f"Error fetching models: {e}")
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# Fallback to SDXL
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return [("SDXL 1.0", "22b0857d-7edc-4d00-9cd9-45aa509db093")]
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def get_scheduler_list():
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"""Get list of schedulers"""
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return [
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("Euler", "b7224e56-1440-43b9-ac86-66d66f9e8c91"),
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("Euler A", "6fb13a76-990d-49df-a2ab-7d9d22c33e3d"),
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("DDIM", "c5a0bad3-bd9d-4c5c-96e3-9d8e8c0c7a6b"),
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("DPMSolver++", "e9c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f"),
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("DPM++ 2M Karras", "f1c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f"),
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("DPM++ SDE", "a1c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f"),
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("DPM++ SDE Karras", "b1c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f"),
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("Heun", "c1c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f"),
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("LMS", "d1c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f"),
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("LMS Karras", "e1c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f")
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]
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# Initialize model and scheduler lists
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MODELS = get_model_list()
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SCHEDULERS = get_scheduler_list()
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# Create mapping dictionaries
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MODEL_MAP = {name: id for name, id in MODELS}
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SCHEDULER_MAP = {name: id for name, id in SCHEDULERS}
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# Default values
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DEFAULT_MODEL = MODELS[0][0] if MODELS else "SDXL 1.0"
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DEFAULT_SCHEDULER = SCHEDULERS[0][0] if SCHEDULERS else "Euler"
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# ========== MODELS TAB ==========
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def get_models():
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"""Fetch and display available models"""
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return f"❌ Error: {str(e)}", "No data"
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# ========== GENERATE TAB ==========
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def generate_image(prompt, negative_prompt, model_name, width, height,
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num_outputs, guidance_scale, inference_steps,
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scheduler_name, seed, init_image_url, prompt_strength):
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"""Generate images using StableCog API"""
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try:
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url = f'{API_HOST}/v1/image/generation/create'
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# Get actual IDs from maps
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model_id = MODEL_MAP.get(model_name, MODELS[0][1] if MODELS else "22b0857d-7edc-4d00-9cd9-45aa509db093")
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scheduler_id = SCHEDULER_MAP.get(scheduler_name, "b7224e56-1440-43b9-ac86-66d66f9e8c91")
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# Prepare request data
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data = {
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"prompt": prompt,
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if prompt_strength is not None:
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data["prompt_strength"] = float(prompt_strength)
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# Debug: Print the data being sent
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print(f"Sending data: {json.dumps(data, indent=2)}")
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# Make API request
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response = requests.post(
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url,
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json=data, # Use json parameter instead of data=json.dumps()
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headers=headers,
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timeout=30 # Longer timeout for generation
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)
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print(f"Response status: {response.status_code}")
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print(f"Response text: {response.text[:200]}...")
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if response.status_code == 200:
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result = response.json()
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outputs = result.get('outputs', [])
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for key, value in settings.items():
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display_text += f" {key}: {value}\n"
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return display_text, gallery_html, str(result)
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else:
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error_msg = f"❌ Generation failed: {response.status_code}"
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try:
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error_detail = response.json()
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error_msg += f"\nDetails: {json.dumps(error_detail, indent=2)}"
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except:
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error_msg += f"\nResponse: {response.text}"
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return error_msg, "", error_msg
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except Exception as e:
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error_msg = f"❌ Error: {str(e)}"
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return error_msg, "", error_msg
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# ========== OUTPUTS TAB ==========
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def create_gallery_html(image_urls, title="Gallery"):
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"""Create HTML gallery with lightbox"""
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html = f"""
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html += "</div>"
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return html
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def fetch_outputs():
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"""Fetch outputs from API"""
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global current_outputs
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try:
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url = f'{API_HOST}/v1/image/generation/outputs'
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response = requests.get(url, headers=headers, timeout=10)
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if response.status_code == 200:
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data = response.json()
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current_outputs = data.get('outputs', [])
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return data
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else:
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return None
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except:
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return None
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def update_outputs_display():
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"""Update outputs display with current page"""
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global current_outputs, current_page, page_size
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gr.Markdown("### ⚙️ Generation Settings")
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with gr.Row():
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model_dropdown = gr.Dropdown(
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label="Model",
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choices=[m[0] for m in MODELS],
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value=DEFAULT_MODEL
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)
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with gr.Row():
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width = gr.Slider(
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label="Width",
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minimum=256,
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maximum=1024,
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value=768,
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step=8
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)
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height = gr.Slider(
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label="Height",
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minimum=256,
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maximum=1024,
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value=768,
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step=8
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)
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label="Guidance Scale",
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minimum=1.0,
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maximum=20.0,
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value=7.0,
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step=0.5
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)
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)
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with gr.Row():
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scheduler_dropdown = gr.Dropdown(
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label="Scheduler",
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choices=[s[0] for s in SCHEDULERS],
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value=DEFAULT_SCHEDULER
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)
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seed = gr.Textbox(
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label="Seed (Optional)",
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# Connect generate button
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generate_btn.click(
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generate_image,
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inputs=[
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prompt, negative_prompt, model_dropdown, width, height,
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num_outputs, guidance_scale, inference_steps,
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scheduler_dropdown, seed, init_image_url, prompt_strength
|
| 623 |
],
|
| 624 |
outputs=[generate_output, generate_gallery, generate_raw]
|
| 625 |
)
|