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import gradio as gr
import numpy as np
import requests
from PIL import Image
from io import BytesIO
import time
MAX_SEED = np.iinfo(np.int32).max
MAX_IMAGE_SIZE = 1344
title = """
# Stability AI - Developer Platform WebUI
### UI for using the stable image api
API Key is required to use this service.
https://platform.stability.ai/account/keys
Contact: D̷ELL@Stability AI - Advocate (https://x.com/xqdior) / Author: umise (https://x.com/UiE029)
"""
title_jp = """
# Stability AI - Developer Platform WebUI
### このSpaceは、Stable Image APIを使用するためのWEB-UIです。
このサービスを利用するにはAPIキーが必要です。以下のリンクから取得してください。
https://platform.stability.ai/account/keys
お問い合わせ先: D̷ELL@Stability AI - Advocate (https://x.com/xqdior) / Author: umise (https://x.com/UiE029)
"""
overview = """
**Overview**
Stability AI’s Stable Image services offer a growing set of APIs for developers to build the best in class image applications.
- **Disrupting Content Creation:** Stability’s Image APIs are the foundation for applications disrupting publishing, media, gaming, marketing, advertising, design, and more.
- **For Developers:** Application developers can build advanced features for designers, photographers, content creators, and a variety of B2C customers.
- **Simple APIs:** Stability AI is focused on delivering simple APIs for easy integration into applications with a high bar for quality, alignment, speed, and safety.
Get Started Now: https://platform.stability.ai/docs/getting-started/stable-image
"""
overview_jp = """
各種モードについて
- テキストから生成:
プロンプトを基に画像を生成します。
- アップスケール:
- 通常のアップスケール:
できるだけ絵を変更せずにアップスケールします
- クリエィティブなアップスケール:
絵全体をいい感じになるようにアップスケールします
- 画像の編集:
- 消去:
マスクした要素を削除します
- インペイント:
マスクされた部分とプロンプトを基に再生成します
- アウトペイント:
指定した範囲分、画像を拡張します
- 検索と置き換え:
検索プロンプトに入力されたオブジェクトを探し、プロンプトをもとにオブジェクトを再生成します
- コントロール:
- 構図:
入力画像の構図を基に新しい画像を生成します
- スケッチ:
ラフなスケッチとプロンプトを基に生成します
"""
model_url = {
"ImageUltra": "https://api.stability.ai/v2beta/stable-image/generate/ultra",
"ImageCore": "https://api.stability.ai/v2beta/stable-image/generate/core",
"StableDiffusion3": "https://api.stability.ai/v2beta/stable-image/generate/sd3",
}
service_url = {
"Conservative_Upscale": "https://api.stability.ai/v2beta/stable-image/upscale/conservative",
"Creative_Upscale": "https://api.stability.ai/v2beta/stable-image/upscale/creative",
"Erase": "https://api.stability.ai/v2beta/stable-image/edit/erase",
"Inpaint": "https://api.stability.ai/v2beta/stable-image/edit/inpaint",
"Outpaint": "https://api.stability.ai/v2beta/stable-image/edit/outpaint",
"SR": "https://api.stability.ai/v2beta/stable-image/edit/search-and-replace",
"RMBG": "https://api.stability.ai/v2beta/stable-image/edit/remove-background",
"Sketch": "https://api.stability.ai/v2beta/stable-image/control/sketch",
"Structure": "https://api.stability.ai/v2beta/stable-image/control/structure",
}
translations = {
"en": {
"api_key": "API Key",
"api_key_placeholder": "Enter your API key",
"model_label": "Model",
"mode_label": "Mode",
"prompt_placeholder": "Enter your prompt",
"negative_prompt_placeholder": "Enter a negative prompt",
"seed_label": "Seed",
"randomize_seed_label": "Randomize seed",
"aspect_label": "Aspect ratio",
"run_button": "Run",
"result_label": "Result",
"copy_field_placeholder": "Copy the field",
"Negative_prompt": "Negative prompt",
"Advanced_Settings": "Advanced Settings",
"Example": "Example",
"Generate": "Generate",
"Upscale": "Upscale",
"Edit": "Edit",
"Control": "Control",
"Submode": "Submode",
"Conservative": "Conservative",
"Creative": "Creative",
"Erase": "Erase",
"Inpaint": "Inpaint",
"Outpaint": "Outpaint",
"Structure": "Structure",
"Sketch": "Sketch",
"Search_and_Replace": "Search and Replace",
"Remove_Background": "Remove Background",
"input_image": "Input Image",
"style_preset": "Style preset",
"preset_description": "This parameter is only available for ImageCore model.",
"Search_prompt_placeholder": "Enter a search prompt",
"Control_Strength": "Control Strength",
"overview": overview,
"overview_label": "How to use",
"title": title,
},
"ja": {
"api_key": "APIキー",
"api_key_placeholder": "APIキーを入力してください",
"model_label": "モデル",
"mode_label": "モード",
"prompt_placeholder": "プロンプトを入力してください",
"negative_prompt_placeholder": "ネガティブプロンプトを入力してください",
"seed_label": "シード",
"randomize_seed_label": "シードをランダム化",
"aspect_label": "アスペクト比",
"run_button": "実行",
"result_label": "結果",
"copy_field_placeholder": "ここに貼り付け用の情報が出てきます",
"Negative_prompt": "ネガティブプロンプト",
"Advanced_Settings": "追加設定",
"Example": "例",
"Generate": "テキストから生成",
"Upscale": "アップスケール",
"Edit": "画像の編集",
"Control": "コントロールモード",
"Submode": "サブモード",
"Conservative": "通常のアップスケール",
"Creative": "クリエィティブなアップスケール",
"Erase": "消去",
"Inpaint": "インペイント",
"Outpaint": "アウトペイント(拡張)",
"Structure": "構図",
"Sketch": "スケッチ",
"Search_and_Replace": "検索と置き換え",
"Remove_Background": "背景削除",
"input_image": "入力画像",
"style_preset": "スタイルのプリセット",
"preset_description": "このパラメータはimage coreのときにだけ有効になります",
"Search_prompt_placeholder": "探したい要素を入力してください",
"Control_Strength": "コントロールネットの適用強度",
"overview": overview_jp,
"overview_label": "使い方",
"title": title_jp,
},
}
lang = "ja"
def bytes_to_image(image):
image = BytesIO(image)
image = Image.open(image).convert("RGB")
return image
def image_to_bytes(image):
byte_io = BytesIO()
image.save(byte_io, format="PNG")
byte_data = byte_io.getvalue()
return byte_data
def send_request(url, api_key, file, data):
response = requests.post(
url,
headers={"Authorization": f"Bearer {api_key}", "Accept": "image/*"},
files=file,
data=data,
)
return response
def generate(
prompt,
negative_prompt,
seed,
mode,
submode,
input_image,
mask,
CNstrength,
search_prompt,
op_left,
op_right,
op_up,
op_down,
randomize_seed,
aspect,
model,
preset,
api_key,
):
if randomize_seed:
seed = 0
file = {}
data = {
"prompt": prompt,
"negative_prompt": negative_prompt,
"output_format": "png",
"seed": seed,
"aspect_ratio": aspect,
}
data_rmbg = {
"output_format": "png",
}
if input_image is not None:
file["image"] = image_to_bytes(input_image)
if mask is not None:
file["mask"] = image_to_bytes(mask)
if mode == translations[lang]["Generate"]:
file["none"] = ""
if model == "Stable Image Ultra (8B + workflow)":
url = model_url["ImageUltra"]
elif model == "Stable Image Core (2B + workflow)":
url = model_url["ImageCore"]
data["style_preset"] = preset
elif model == "Stable Diffusion 3 Medium (2B)":
url = model_url["StableDiffusion3"]
data["model"] = "sd3-medium"
elif model == "Stable Diffusion 3 Large (8B)":
url = model_url["StableDiffusion3"]
data["model"] = "sd3-large"
elif model == "Stable Diffusion 3 Large Turbo (8B Turbo)":
url = model_url["StableDiffusion3"]
data["model"] = "sd3-large-turbo"
else:
raise ValueError("Invalid model type")
elif mode == translations[lang]["Upscale"]:
if submode == translations[lang]["Conservative"]:
url = service_url["Conservative_Upscale"]
elif submode == translations[lang]["Creative"]:
url = service_url["Creative_Upscale"]
elif mode == translations[lang]["Edit"]:
if submode == translations[lang]["Erase"]:
url = service_url["Erase"]
elif submode == translations[lang]["Inpaint"]:
url = service_url["Inpaint"]
elif submode == translations[lang]["Outpaint"]:
url = service_url["Outpaint"]
data["left"] = op_left
data["right"] = op_right
data["up"] = op_up
data["down"] = op_down
elif submode == translations[lang]["Search_and_Replace"]:
url = service_url["SR"]
data["search_prompt"] = search_prompt
elif submode == translations[lang]["Remove_Background"]:
data = data_rmbg
url = service_url["RMBG"]
elif mode == translations[lang]["Control"]:
data["control_strength"] = CNstrength
if submode == translations[lang]["Sketch"]:
url = service_url["Sketch"]
elif submode == translations[lang]["Structure"]:
url = service_url["Structure"]
response = send_request(url, api_key, file, data)
if response.status_code == 200:
if (
mode == translations[lang]["Upscale"]
and submode == translations[lang]["Creative"]
):
generation_id = response.json().get("id")
if not generation_id:
raise Exception("No generation ID returned for creative upscale")
# Polling for the result
result_url = f"https://api.stability.ai/v2beta/stable-image/upscale/creative/result/{generation_id}"
while True:
result_response = requests.get(
result_url,
headers={"accept": "image/*", "authorization": f"Bearer {api_key}"},
)
if result_response.status_code == 202:
print("Generation in-progress, try again in 10 seconds.")
time.sleep(10)
elif result_response.status_code == 200:
print("Generation complete!")
image = result_response.content
image = bytes_to_image(image)
copy_filed_value = f"prompt:{prompt}, negative:{negative_prompt}, mode:{mode}, submode:{submode}"
return image, seed, copy_filed_value
else:
raise Exception(str(result_response.json()))
else:
image = response.content
image = bytes_to_image(image)
copy_filed_value = f"prompt:{prompt}, negative:{negative_prompt}, mode:{mode}, submode:{submode}"
return image, seed, copy_filed_value
else:
raise Exception(str(response.json()))
examples = [
"Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
"An astronaut riding a green horse",
"A delicious ceviche cheesecake slice",
]
css = """
#col-container {
margin: 0 auto;
max-width: 50vw;
}
"""
def update_style_visibility(model):
if model == "Stable Image Core (2B + workflow)":
return gr.update(visible=True)
else:
return gr.update(visible=False)
def update_mode(mode):
submode_update = gr.update(choices=["None"], visible=False)
image_label_update = gr.update(visible=False)
img_input_update = gr.update(visible=False)
mask_update = gr.update(visible=False)
if mode == translations[lang]["Generate"]:
submode_update = gr.update(visible=False)
elif mode == translations[lang]["Upscale"]:
submode_update = gr.update(
choices=[
translations[lang]["Conservative"],
translations[lang]["Creative"],
],
value=translations[lang]["Conservative"],
visible=True,
)
img_input_update = gr.update(visible=True)
image_label_update = gr.update(visible=True)
elif mode == translations[lang]["Edit"]:
submode_update = gr.update(
choices=[
translations[lang]["Erase"],
translations[lang]["Inpaint"],
translations[lang]["Outpaint"],
translations[lang]["Search_and_Replace"],
translations[lang]["Remove_Background"],
],
value=translations[lang]["Erase"],
visible=True,
)
img_input_update = gr.update(visible=True)
image_label_update = gr.update(visible=True)
elif mode == translations[lang]["Control"]:
submode_update = gr.update(
choices=[
translations[lang]["Structure"],
translations[lang]["Sketch"],
],
value=translations[lang]["Structure"],
visible=True,
)
img_input_update = gr.update(visible=True)
image_label_update = gr.update(visible=True)
return submode_update, img_input_update, mask_update, image_label_update
def update_submode(submode):
mask = gr.update(visible=False)
outpaint = gr.update(visible=False)
cn = gr.update(visible=False)
search_prompt = gr.update(visible=False)
if submode in [translations[lang]["Erase"], translations[lang]["Inpaint"]]:
mask = gr.update(visible=True)
else:
if submode == translations[lang]["Outpaint"]:
outpaint = gr.update(visible=True)
elif submode in [translations[lang]["Structure"], translations[lang]["Sketch"]]:
cn = gr.update(visible=True)
elif submode == translations[lang]["Search_and_Replace"]:
search_prompt = gr.update(visible=True)
return mask, outpaint, cn, search_prompt
with gr.Blocks(css=css, theme="NoCrypt/miku") as demo:
with gr.Column(elem_id="col-container"):
gr.Markdown(
translations[lang]["title"],
)
with gr.Accordion(translations[lang]["overview_label"], open=False):
gr.Markdown(
translations[lang]["overview"],
)
with gr.Row():
api_key = gr.Text(
label=translations[lang]["api_key"],
type="password",
placeholder=translations[lang]["api_key_placeholder"],
max_lines=1,
container=False,
)
with gr.Row():
model = gr.Dropdown(
label=translations[lang]["model_label"],
choices=[
"Stable Image Ultra (8B + workflow)",
"Stable Image Core (2B + workflow)",
"Stable Diffusion 3 Large Turbo (8B Turbo)",
"Stable Diffusion 3 Large (8B)",
"Stable Diffusion 3 Medium (2B)",
],
value="Stable Image Ultra (8B + workflow)",
)
mode = gr.Dropdown(
label=translations[lang]["mode_label"],
choices=[
translations[lang]["Generate"],
translations[lang]["Upscale"],
translations[lang]["Edit"],
translations[lang]["Control"],
],
value=translations[lang]["Generate"],
)
submode = gr.Dropdown(
label=translations[lang]["Submode"],
choices=["None"],
visible=False,
value="None",
)
with gr.Row():
with gr.Column():
prompt = gr.Text(
label="Prompt",
show_label=False,
max_lines=1,
placeholder=translations[lang]["prompt_placeholder"],
container=False,
)
search_prompt = gr.Text(
label="search prompt",
visible=False,
show_label=False,
max_lines=1,
placeholder=translations[lang]["Search_prompt_placeholder"],
)
run_button = gr.Button(translations[lang]["run_button"], scale=0)
with gr.Row():
gr.Examples(
label=translations[lang]["Example"], examples=examples, inputs=[prompt]
)
with gr.Row():
with gr.Column():
image_label = gr.Markdown(
value=translations[lang]["input_image"], visible=False
)
image = gr.Image(
type="pil",
label="img input",
width="20vw",
height="20vw",
show_label=True,
visible=False,
interactive=True,
container=False,
)
with gr.Column(visible=False) as mask:
mask_label = gr.Markdown(value="input mask")
mask_input = gr.Image(
type="pil",
label="mask",
width="20vw",
height="20vw",
show_label=True,
interactive=True,
container=False,
)
with gr.Row():
result = gr.Image(
label=translations[lang]["result_label"], width="20vw", height="20%"
)
with gr.Accordion(translations[lang]["Advanced_Settings"], open=False):
negative_prompt = gr.Text(
label=translations[lang]["Negative_prompt"],
max_lines=1,
placeholder=translations[lang]["negative_prompt_placeholder"],
)
seed = gr.Slider(
label=translations[lang]["seed_label"],
minimum=0,
maximum=MAX_SEED,
step=1,
value=0,
)
CN_strength = gr.Slider(
label=translations[lang]["Control_Strength"],
minimum=0,
maximum=1,
step=0.01,
value=0.5,
visible=False,
)
randomize_seed = gr.Checkbox(
label=translations[lang]["randomize_seed_label"], value=True
)
aspect = gr.Radio(
choices=[
"1:1",
"16:9",
"21:9",
"2:3",
"3:2",
"4:5",
"5:4",
"9:16",
"9:21",
],
label=translations[lang]["aspect_label"],
value="1:1",
)
with gr.Row(visible=False) as style:
style_preset = gr.Radio(
choices=[
"3d-model",
"analog-film",
"anime",
"cinematic",
"comic-book",
"digital-art",
"enhance",
"fantasy-art",
"isometric",
"line-art",
"low-poly",
"modeling-compound",
"neon-punk",
"origami",
"photographic",
"pixel-art",
"tile-texture",
],
label=translations[lang]["style_preset"],
value="anime",
info=translations[lang]["preset_description"],
)
with gr.Row(visible=False) as outpaint_scale:
paint = gr.Markdown(value="Outpain Scale")
op_left = gr.Slider(
label="left", minimum=0, maximum=2000, step=4, value=200
)
op_right = gr.Slider(
label="right", minimum=0, maximum=2000, step=4, value=200
)
op_up = gr.Slider(
label="up", minimum=0, maximum=2000, step=4, value=200
)
op_down = gr.Slider(
label="down", minimum=0, maximum=2000, step=4, value=200
)
copy_filed = gr.TextArea(
value="",
label="Copy Field",
max_lines=1,
placeholder=translations[lang]["copy_field_placeholder"],
show_copy_button=True,
container=False,
)
gr.Markdown(
f"""
## License
This work is licensed under a
[Creative Commons Attribution-NonCommercial 4.0 International License][cc-by-nc].
[![CC BY-NC 4.0][cc-by-nc-image]][cc-by-nc]
[cc-by-nc]: https://creativecommons.org/licenses/by-nc/4.0/
[cc-by-nc-image]: https://licensebuttons.net/l/by-nc/4.0/88x31.png
[cc-by-nc-shield]: https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg
**MIT Licensed Source Code**
Portions of this work are licensed under the MIT License. For more details, please refer to the original source at: [stabilityai/stable-diffusion-3-medium](https://huggingface.co/spaces/stabilityai/stable-diffusion-3-medium)
"""
)
gr.on(
triggers=[run_button.click, prompt.submit, negative_prompt.submit],
fn=generate,
inputs=[
prompt,
negative_prompt,
seed,
mode,
submode,
image,
mask_input,
CN_strength,
search_prompt,
op_left,
op_right,
op_up,
op_down,
randomize_seed,
aspect,
model,
style_preset,
api_key,
],
outputs=[result, seed, copy_filed],
)
mode.change(
fn=update_mode, inputs=mode, outputs=[submode, image, mask, image_label]
)
submode.change(
fn=update_submode,
inputs=submode,
outputs=[mask, outpaint_scale, CN_strength, search_prompt],
)
model.change(fn=update_style_visibility, inputs=model, outputs=style)
demo.launch()