Spaces:
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Running
update
Browse files
app.py
CHANGED
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import gradio as gr
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import numpy as np
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import torch
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import requests
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from PIL import Image
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from io import BytesIO
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1344
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model_url = {
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"
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}
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def bytes_to_image(image):
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image = BytesIO(image)
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image = Image.open(image).convert(
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return image
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def image_to_bytes(image):
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byte_io = BytesIO()
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image.save(byte_io, format=
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byte_data = byte_io.getvalue()
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return byte_data
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response = requests.post(
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url,
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headers={
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"Authorization": f"Bearer {api_key}",
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"Accept": "image/*"
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},
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files=file,
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data=data,
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)
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return response
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if randomize_seed:
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seed = 0
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@@ -58,7 +81,7 @@ def generate(prompt, negative_prompt, seed, mode, submode, input_image, mask, CN
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"negative_prompt": negative_prompt,
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"output_format": "png",
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"seed": seed,
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"aspect_ratio": aspect
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}
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if input_image is not None:
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file["image"] = image_to_bytes(input_image)
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if mode == "Generate":
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file["none"] = ""
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if model == "
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url = model_url[
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elif model == "
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url = model_url[
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data["style_preset"] = preset
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else:
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raise ValueError("Invalid model type")
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while True:
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result_response = requests.get(
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result_url,
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headers={
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'accept': "image/*",
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'authorization': f"Bearer {api_key}"
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}
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)
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if result_response.status_code == 202:
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print("Generation in-progress, try again in 10 seconds.")
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return image, seed, copy_filed_value
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else:
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raise Exception(str(response.json()))
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examples = [
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"Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
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"An astronaut riding a green horse",
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"A delicious ceviche cheesecake slice",
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]
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css="""
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#col-container {
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margin: 0 auto;
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max-width: 50vw;
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"""
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def update_mode(mode):
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submode_update = gr.update(choices=["None"], visible=False)
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image_label_update = gr.update(visible=False)
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if mode == "Generate":
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submode_update = gr.update(visible=False)
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elif mode == "Upscale":
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submode_update = gr.update(
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img_input_update = gr.update(visible=True)
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image_label_update = gr.update(visible=True)
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elif mode == "Edit":
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submode_update = gr.update(
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img_input_update = gr.update(visible=True)
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image_label_update = gr.update(visible=True)
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elif mode == "Control":
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submode_update = gr.update(
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img_input_update = gr.update(visible=True)
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image_label_update = gr.update(visible=True)
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return submode_update, img_input_update, mask_update, image_label_update
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def update_submode(submode):
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mask = gr.update(visible=False)
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outpaint = gr.update(visible=False)
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if submode == "Outpaint":
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outpaint = gr.update(visible=True)
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elif submode == "Control":
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cn = gr.update(visible=True)
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return mask, outpaint, cn, search_prompt
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown(
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# Demo Stable Image API
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Learn more about the [Stable Diffusion 3 series](https://stability.ai/news/stable-diffusion-3). Try on [Stability AI API](https://platform.stability.ai/docs/api-reference#tag/Generate/paths/~1v2beta~1stable-image~1generate~1sd3/post), [Stable Assistant](https://stability.ai/stable-assistant), or on Discord via [Stable Artisan](https://stability.ai/stable-artisan). Run locally with [ComfyUI](https://github.com/comfyanonymous/ComfyUI) or [diffusers](https://github.com/huggingface/diffusers)
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"""
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with gr.Row():
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api_key = gr.Text(
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with gr.Row():
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model = gr.Dropdown(
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submode = gr.Dropdown(
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with gr.Row():
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with gr.Column():
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with gr.Row():
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with gr.Column():
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image_label = gr.Markdown(value
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image = gr.Image(
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with gr.Column(visible=False) as mask:
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mask_label = gr.Markdown(value="input mask")
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mask_input = gr.Image(
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with gr.Row():
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result = gr.Image(label="Result", width="20vw", height="20%")
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step=1,
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value=0,
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)
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CN_strength = gr.Slider(
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row(visible=False) as outpaint_scale:
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paint = gr.Markdown(value
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op_left = gr.Slider(
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copy_filed = gr.TextArea(
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gr.on(
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triggers=[run_button.click, prompt.submit, negative_prompt.submit],
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fn=generate,
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inputs=[
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)
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mode.change(
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import gradio as gr
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import numpy as np
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import requests
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from PIL import Image
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from io import BytesIO
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1344
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model_url = {
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"ImageUltra": "https://api.stability.ai/v2beta/stable-image/generate/ultra",
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"ImageCore": "https://api.stability.ai/v2beta/stable-image/generate/core",
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"StableDiffusion3": "https://api.stability.ai/v2beta/stable-image/generate/sd3",
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}
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service_url = {
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"Conservative_Upscale": "https://api.stability.ai/v2beta/stable-image/upscale/conservative",
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"Creative_Upscale": "https://api.stability.ai/v2beta/stable-image/upscale/creative",
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"Erase": "https://api.stability.ai/v2beta/stable-image/edit/erase",
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"Inpaint": "https://api.stability.ai/v2beta/stable-image/edit/inpaint",
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"Outpaint": "https://api.stability.ai/v2beta/stable-image/edit/outpaint",
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"SR": "https://api.stability.ai/v2beta/stable-image/edit/search-and-replace",
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"RMBG": "https://api.stability.ai/v2beta/stable-image/edit/remove-background",
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"Sketch": "https://api.stability.ai/v2beta/stable-image/control/sketch",
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"Structure": "https://api.stability.ai/v2beta/stable-image/control/structure",
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}
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def bytes_to_image(image):
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image = BytesIO(image)
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image = Image.open(image).convert("RGB")
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return image
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def image_to_bytes(image):
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byte_io = BytesIO()
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image.save(byte_io, format="PNG")
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byte_data = byte_io.getvalue()
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return byte_data
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def send_request(url, api_key, file, data):
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response = requests.post(
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url,
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headers={"Authorization": f"Bearer {api_key}", "Accept": "image/*"},
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files=file,
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data=data,
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)
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return response
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def generate(
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prompt,
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negative_prompt,
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seed,
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mode,
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submode,
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input_image,
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mask,
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CNstrength,
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search_prompt,
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op_left,
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op_right,
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op_up,
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op_down,
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randomize_seed,
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aspect,
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model,
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preset,
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api_key,
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):
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if randomize_seed:
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seed = 0
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"negative_prompt": negative_prompt,
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"output_format": "png",
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"seed": seed,
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"aspect_ratio": aspect,
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}
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if input_image is not None:
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file["image"] = image_to_bytes(input_image)
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if mode == "Generate":
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file["none"] = ""
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if model == "Ultra":
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url = model_url["ImageUltra"]
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elif model == "Core":
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url = model_url["ImageCore"]
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data["style_preset"] = preset
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elif model == "sd3-medium":
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url = model_url["StableDiffusion3"]
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data["model"] = model
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elif model == "sd3-large":
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url = model_url["StableDiffusion3"]
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data["model"] = model
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elif model == "sd3-large-turbo":
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url = model_url["StableDiffusion3"]
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data["model"] = model
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else:
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raise ValueError("Invalid model type")
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while True:
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result_response = requests.get(
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result_url,
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headers={"accept": "image/*", "authorization": f"Bearer {api_key}"},
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)
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if result_response.status_code == 202:
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print("Generation in-progress, try again in 10 seconds.")
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return image, seed, copy_filed_value
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else:
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raise Exception(str(response.json()))
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examples = [
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"Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
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"An astronaut riding a green horse",
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"A delicious ceviche cheesecake slice",
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]
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css = """
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#col-container {
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margin: 0 auto;
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max-width: 50vw;
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"""
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def update_style_visibility(model):
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if model == "Core":
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return gr.update(visible=True)
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else:
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return gr.update(visible=False)
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def update_mode(mode):
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submode_update = gr.update(choices=["None"], visible=False)
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image_label_update = gr.update(visible=False)
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if mode == "Generate":
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submode_update = gr.update(visible=False)
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elif mode == "Upscale":
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submode_update = gr.update(
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choices=["Conservative", "Creative"], value="Conservative", visible=True
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)
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img_input_update = gr.update(visible=True)
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image_label_update = gr.update(visible=True)
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elif mode == "Edit":
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submode_update = gr.update(
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choices=[
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"Erase",
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"Inpaint",
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| 217 |
+
"Outpaint",
|
| 218 |
+
"Search and Replace",
|
| 219 |
+
"Remove Background",
|
| 220 |
+
],
|
| 221 |
+
value="Erase",
|
| 222 |
+
visible=True,
|
| 223 |
+
)
|
| 224 |
img_input_update = gr.update(visible=True)
|
| 225 |
image_label_update = gr.update(visible=True)
|
| 226 |
elif mode == "Control":
|
| 227 |
+
submode_update = gr.update(
|
| 228 |
+
choices=["Sketch", "Structure"], value="Sketch", visible=True
|
| 229 |
+
)
|
| 230 |
img_input_update = gr.update(visible=True)
|
| 231 |
image_label_update = gr.update(visible=True)
|
| 232 |
|
| 233 |
return submode_update, img_input_update, mask_update, image_label_update
|
| 234 |
|
| 235 |
+
|
| 236 |
def update_submode(submode):
|
| 237 |
mask = gr.update(visible=False)
|
| 238 |
outpaint = gr.update(visible=False)
|
|
|
|
| 246 |
if submode == "Outpaint":
|
| 247 |
outpaint = gr.update(visible=True)
|
| 248 |
|
|
|
|
| 249 |
elif submode == "Control":
|
| 250 |
cn = gr.update(visible=True)
|
| 251 |
|
|
|
|
| 255 |
return mask, outpaint, cn, search_prompt
|
| 256 |
|
| 257 |
|
| 258 |
+
with gr.Blocks(css=css, theme="NoCrypt/miku") as demo:
|
|
|
|
| 259 |
with gr.Column(elem_id="col-container"):
|
| 260 |
+
gr.Markdown(
|
| 261 |
+
f"""
|
| 262 |
# Demo Stable Image API
|
| 263 |
Learn more about the [Stable Diffusion 3 series](https://stability.ai/news/stable-diffusion-3). Try on [Stability AI API](https://platform.stability.ai/docs/api-reference#tag/Generate/paths/~1v2beta~1stable-image~1generate~1sd3/post), [Stable Assistant](https://stability.ai/stable-assistant), or on Discord via [Stable Artisan](https://stability.ai/stable-artisan). Run locally with [ComfyUI](https://github.com/comfyanonymous/ComfyUI) or [diffusers](https://github.com/huggingface/diffusers)
|
| 264 |
+
"""
|
| 265 |
+
)
|
| 266 |
|
| 267 |
with gr.Row():
|
| 268 |
+
api_key = gr.Text(
|
| 269 |
+
label="API Key",
|
| 270 |
+
type="password",
|
| 271 |
+
placeholder="Enter your API key",
|
| 272 |
+
max_lines=1,
|
| 273 |
+
container=False,
|
| 274 |
+
)
|
| 275 |
|
| 276 |
with gr.Row():
|
| 277 |
+
model = gr.Dropdown(
|
| 278 |
+
label="Model",
|
| 279 |
+
choices=["Ultra", "Core", "sd3-medium", "sd3-large", "sd3-large-turbo"],
|
| 280 |
+
value="Ultra",
|
| 281 |
+
)
|
| 282 |
+
mode = gr.Dropdown(
|
| 283 |
+
label="Mode",
|
| 284 |
+
choices=["Generate", "Upscale", "Edit", "Control"],
|
| 285 |
+
value="Generate",
|
| 286 |
+
)
|
| 287 |
|
| 288 |
+
submode = gr.Dropdown(
|
| 289 |
+
label="Submode", choices=["None"], visible=False, value="None"
|
| 290 |
+
)
|
| 291 |
|
| 292 |
with gr.Row():
|
| 293 |
with gr.Column():
|
|
|
|
| 310 |
|
| 311 |
with gr.Row():
|
| 312 |
with gr.Column():
|
| 313 |
+
image_label = gr.Markdown(value="input image", visible=False)
|
| 314 |
+
image = gr.Image(
|
| 315 |
+
type="pil",
|
| 316 |
+
label="img input",
|
| 317 |
+
width="20vw",
|
| 318 |
+
height="20vw",
|
| 319 |
+
show_label=True,
|
| 320 |
+
visible=False,
|
| 321 |
+
interactive=True,
|
| 322 |
+
container=False,
|
| 323 |
+
)
|
| 324 |
with gr.Column(visible=False) as mask:
|
| 325 |
mask_label = gr.Markdown(value="input mask")
|
| 326 |
+
mask_input = gr.Image(
|
| 327 |
+
type="pil",
|
| 328 |
+
label="mask",
|
| 329 |
+
width="20vw",
|
| 330 |
+
height="20vw",
|
| 331 |
+
show_label=True,
|
| 332 |
+
interactive=True,
|
| 333 |
+
container=False,
|
| 334 |
+
)
|
| 335 |
|
| 336 |
with gr.Row():
|
| 337 |
result = gr.Image(label="Result", width="20vw", height="20%")
|
|
|
|
| 349 |
step=1,
|
| 350 |
value=0,
|
| 351 |
)
|
| 352 |
+
CN_strength = gr.Slider(
|
| 353 |
+
label="Control Strength",
|
| 354 |
+
minimum=0,
|
| 355 |
+
maximum=1,
|
| 356 |
+
step=0.01,
|
| 357 |
+
value=0.5,
|
| 358 |
+
visible=False,
|
| 359 |
+
)
|
| 360 |
randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
|
| 361 |
+
aspect = gr.Radio(
|
| 362 |
+
choices=[
|
| 363 |
+
"1:1",
|
| 364 |
+
"16:9",
|
| 365 |
+
"21:9",
|
| 366 |
+
"2:3",
|
| 367 |
+
"3:2",
|
| 368 |
+
"4:5",
|
| 369 |
+
"5:4",
|
| 370 |
+
"9:16",
|
| 371 |
+
"9:21",
|
| 372 |
+
],
|
| 373 |
+
label="Aspect raito",
|
| 374 |
+
value="1:1",
|
| 375 |
+
)
|
| 376 |
+
with gr.Row(visible=False) as style:
|
| 377 |
+
style_preset = gr.Radio(
|
| 378 |
+
choices=[
|
| 379 |
+
"3d-model",
|
| 380 |
+
"analog-film",
|
| 381 |
+
"anime",
|
| 382 |
+
"cinematic",
|
| 383 |
+
"comic-book",
|
| 384 |
+
"digital-art",
|
| 385 |
+
"enhance",
|
| 386 |
+
"fantasy-art",
|
| 387 |
+
"isometric",
|
| 388 |
+
"line-art",
|
| 389 |
+
"low-poly",
|
| 390 |
+
"modeling-compound",
|
| 391 |
+
"neon-punk",
|
| 392 |
+
"origami",
|
| 393 |
+
"photographic",
|
| 394 |
+
"pixel-art",
|
| 395 |
+
"tile-texture",
|
| 396 |
+
],
|
| 397 |
+
label="Style_preset",
|
| 398 |
+
value="anime",
|
| 399 |
+
info="This parameter is only available for ImageCore model.",
|
| 400 |
+
)
|
| 401 |
with gr.Row(visible=False) as outpaint_scale:
|
| 402 |
+
paint = gr.Markdown(value="Outpain Scale")
|
| 403 |
+
op_left = gr.Slider(
|
| 404 |
+
label="left", minimum=0, maximum=2000, step=4, value=200
|
| 405 |
+
)
|
| 406 |
+
op_right = gr.Slider(
|
| 407 |
+
label="right", minimum=0, maximum=2000, step=4, value=200
|
| 408 |
+
)
|
| 409 |
+
op_up = gr.Slider(
|
| 410 |
+
label="up", minimum=0, maximum=2000, step=4, value=200
|
| 411 |
+
)
|
| 412 |
+
op_down = gr.Slider(
|
| 413 |
+
label="down", minimum=0, maximum=2000, step=4, value=200
|
| 414 |
+
)
|
| 415 |
+
gr.Examples(examples=examples, inputs=[prompt])
|
| 416 |
|
| 417 |
copy_filed = gr.TextArea(
|
| 418 |
+
value="",
|
| 419 |
+
label="Copy Field",
|
| 420 |
+
max_lines=1,
|
| 421 |
+
placeholder="Copy the field",
|
| 422 |
+
show_copy_button=True,
|
| 423 |
+
container=False,
|
| 424 |
+
)
|
| 425 |
|
| 426 |
gr.on(
|
| 427 |
triggers=[run_button.click, prompt.submit, negative_prompt.submit],
|
| 428 |
fn=generate,
|
| 429 |
+
inputs=[
|
| 430 |
+
prompt,
|
| 431 |
+
negative_prompt,
|
| 432 |
+
seed,
|
| 433 |
+
mode,
|
| 434 |
+
submode,
|
| 435 |
+
image,
|
| 436 |
+
mask_input,
|
| 437 |
+
CN_strength,
|
| 438 |
+
search_prompt,
|
| 439 |
+
op_left,
|
| 440 |
+
op_right,
|
| 441 |
+
op_up,
|
| 442 |
+
op_down,
|
| 443 |
+
randomize_seed,
|
| 444 |
+
aspect,
|
| 445 |
+
model,
|
| 446 |
+
style_preset,
|
| 447 |
+
api_key,
|
| 448 |
+
],
|
| 449 |
+
outputs=[result, seed, copy_filed],
|
| 450 |
)
|
| 451 |
|
| 452 |
+
mode.change(
|
| 453 |
+
fn=update_mode, inputs=mode, outputs=[submode, image, mask, image_label]
|
| 454 |
+
)
|
| 455 |
+
submode.change(
|
| 456 |
+
fn=update_submode,
|
| 457 |
+
inputs=submode,
|
| 458 |
+
outputs=[mask, outpaint_scale, CN_strength, search_prompt],
|
| 459 |
+
)
|
| 460 |
+
model.change(fn=update_style_visibility, inputs=model, outputs=style)
|
| 461 |
+
demo.launch()
|