Create app.py

app.py

@@ -0,0 +1,238 @@
+import numpy as np
+import gradio as gr
+import requests
+import time
+import json
+import base64
+import os
+from PIL import Image
+from io import BytesIO
+
+class Prodia:
+    def __init__(self, api_key, base=None):
+        self.base = base or "https://api.prodia.com/v1"
+        self.headers = {
+            "X-Prodia-Key": api_key
+        }
+
+    def generate(self, params):
+        response = self._post(f"{self.base}/sdxl/generate", params)
+        return response.json()
+
+    def get_job(self, job_id):
+        response = self._get(f"{self.base}/job/{job_id}")
+        return response.json()
+
+    def wait(self, job):
+        job_result = job
+
+        while job_result['status'] not in ['succeeded', 'failed']:
+            time.sleep(0.25)
+            job_result = self.get_job(job['job'])
+
+        return job_result
+
+    def list_models(self):
+        response = self._get(f"{self.base}/sdxl/models")
+        return response.json()
+
+    def list_samplers(self):
+        response = self._get(f"{self.base}/sdxl/samplers")
+        return response.json()
+
+    def _post(self, url, params):
+        headers = {
+            **self.headers,
+            "Content-Type": "application/json"
+        }
+        response = requests.post(url, headers=headers, data=json.dumps(params))
+
+        if response.status_code != 200:
+            raise Exception(f"Bad Prodia Response: {response.status_code}")
+
+        return response
+
+    def _get(self, url):
+        response = requests.get(url, headers=self.headers)
+
+        if response.status_code != 200:
+            raise Exception(f"Bad Prodia Response: {response.status_code}")
+
+        return response
+
+
+def image_to_base64(image_path):
+    # Open the image with PIL
+    with Image.open(image_path) as image:
+        # Convert the image to bytes
+        buffered = BytesIO()
+        image.save(buffered, format="PNG")  # You can change format to PNG if needed
+
+        # Encode the bytes to base64
+        img_str = base64.b64encode(buffered.getvalue())
+
+    return img_str.decode('utf-8')  # Convert bytes to string
+
+# Prodia 클라이언트 인스턴스 생성
+prodia_client = Prodia(api_key=os.getenv("PRODIA_API_KEY"))
+
+# 모델 목록 추가
+additional_models = [
+    "arcane-diffusion-v3.ckpt",
+    "Cyberpunk-Anime-Diffusion.ckpt",
+    "mdjrny-v4.ckpt",
+    "moDi-v1-pruned.ckpt",
+    "PaperCut_v1.ckpt",
+    "samdoesarts_style.ckpt",
+    "wd-v1-3-float32.ckpt",
+    "sd-v1-4.ckpt",
+    "v1-5-pruned-emaonly.ckpt",
+    "sd-v1-5-inpainting.ckpt",
+    "Anything-V3.0-pruned.ckpt",
+    "Anything-V3.0.vae.pt",
+    "768-v-ema.ckpt",
+    "akakura-sn.ckpt",
+    "v2-1_768-ema-pruned.ckpt"
+]
+
+# 기존 모델 목록에 추가
+prodia_models = prodia_client.list_models()
+model_choices = prodia_models + additional_models
+
+def flip_text(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
+    result = prodia_client.generate({
+        "prompt": prompt,
+        "negative_prompt": negative_prompt,
+        "model": model,
+        "steps": steps,
+        "sampler": sampler,
+        "cfg_scale": cfg_scale,
+        "width": width,
+        "height": height,
+        "seed": seed
+    })
+
+    job = prodia_client.wait(result)
+
+    return job["imageUrl"]
+
+css = """
+#generate {
+    height: 100%;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+
+    with gr.Row():
+        with gr.Column(scale=6):
+            model = gr.Dropdown(
+                interactive=True, 
+                value="sd_xl_base_1.0.safetensors [be9edd61]", 
+                show_label=True, 
+                label="Stable Diffusion 체크포인트 (모델 선택)", 
+                choices=model_choices
+            )
+
+        with gr.Column(scale=1):
+            gr.Markdown(
+                elem_id="powered-by-prodia", 
+                value="AUTOMATIC1111 Stable Diffusion Web UI for SDXL V1.0.<br>Powered by [Prodia](https://prodia.com)."
+            )
+
+    with gr.Tab("txt2img"):
+        with gr.Row():
+            with gr.Column(scale=6, min_width=600):
+                prompt = gr.Textbox(
+                    value="space warrior, beautiful, female, ultrarealistic, soft lighting, 8k", 
+                    placeholder="프롬프트 (생성할 이미지의 설명)", 
+                    show_label=False, 
+                    lines=3
+                )
+                negative_prompt = gr.Textbox(
+                    placeholder="네거티브 프롬프트 (제외할 요소들)", 
+                    show_label=False, 
+                    lines=3, 
+                    value="3d, cartoon, anime, (deformed eyes, nose, ears, nose), bad anatomy, ugly"
+                )
+            with gr.Column():
+                text_button = gr.Button("생성", variant='primary', elem_id="generate")
+
+        with gr.Row():
+            with gr.Column(scale=3):
+                with gr.Tab("Generation (생성 설정)"):
+                    with gr.Row():
+                        with gr.Column(scale=1):
+                            sampler = gr.Dropdown(
+                                value="DPM++ 2M Karras", 
+                                show_label=True, 
+                                label="샘플링 방법", 
+                                choices=prodia_client.list_samplers()
+                            )
+
+                        with gr.Column(scale=1):
+                            steps = gr.Slider(
+                                label="샘플링 단계", 
+                                minimum=1, 
+                                maximum=25, 
+                                value=20, 
+                                step=1
+                            )
+
+                    with gr.Row():
+                        with gr.Column(scale=1):
+                            width = gr.Slider(
+                                label="너비 (픽셀)", 
+                                minimum=512, 
+                                maximum=1536, 
+                                value=1024, 
+                                step=8
+                            )
+                            height = gr.Slider(
+                                label="높이 (픽셀)", 
+                                minimum=512, 
+                                maximum=1536, 
+                                value=1024, 
+                                step=8
+                            )
+                            gr.Markdown(
+                                elem_id="resolution", 
+                                value="*최대 해상도: 1MP (1048576 픽셀)*"
+                            )
+
+                        with gr.Column(scale=1):
+                            batch_size = gr.Slider(
+                                label="배치 크기", 
+                                maximum=1, 
+                                value=1
+                            )
+                            batch_count = gr.Slider(
+                                label="배치 수", 
+                                maximum=1, 
+                                value=1
+                            )
+
+                    cfg_scale = gr.Slider(
+                        label="CFG 스케일 (제어 강도)", 
+                        minimum=1, 
+                        maximum=20, 
+                        value=7, 
+                        step=1
+                    )
+                    seed = gr.Number(
+                        label="시드 (고유 번호)", 
+                        value=-1
+                    )
+
+            with gr.Column(scale=2):
+                image_output = gr.Image(
+                    value="https://cdn-uploads.huggingface.co/production/uploads/noauth/XWJyh9DhMGXrzyRJk7SfP.png"
+                )
+
+        text_button.click(
+            flip_text, 
+            inputs=[prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed], 
+            outputs=image_output
+        )
+
+demo.queue(concurrency_count=24, max_size=32, api_open=False).launch(max_threads=128)