Add application file

README.md

@@ -1,12 +1,13 @@
 ---
-title: Flux FAST With API
+title: Fast FLUX.1 Dev
 emoji: 🔥
-colorFrom: gray
+colorFrom: yellow
 colorTo: yellow
 sdk: gradio
-sdk_version: 4.44.0
+sdk_version: 4.42.0
 app_file: app.py
 pinned: false
+license: mit
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,147 @@
+import gradio as gr
+import numpy as np
+import os 
+import random
+import requests
+from PIL import Image
+from io import BytesIO
+
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 2048
+
+class APIClient:
+    def __init__(self, api_key=os.getenv("API_KEY"), base_url="inference.prodia.com"):
+        self.headers = {
+            "Content-Type": "application/json",
+            "Accept": "image/jpeg",
+            "Authorization": f"Bearer {api_key}"
+        }
+        self.base_url = f"https://{base_url}"
+
+    def _post(self, url, json=None):
+        r = requests.post(url, headers=self.headers, json=json)
+        r.raise_for_status()
+
+        return Image.open(BytesIO(r.content)).convert("RGB")
+
+    def job(self, config):
+        body = {"type": "inference.flux.dev.txt2img.v1", "config": config}
+        return self._post(f"{self.base_url}/v2/job", json=body)
+    
+
+def infer(prompt, seed=42, randomize_seed=False, resolution="1024x1024", guidance_scale=5.0, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+
+    width, height = resolution.split("x")
+        
+    image = generative_api.job({
+        "prompt": prompt,
+        "width": int(width),
+        "height": int(height),
+        "seed": seed,
+        "steps": num_inference_steps,
+        "guidance_scale": guidance_scale
+    })
+    return image, seed
+
+generative_api = APIClient()
+
+with open("header.md", "r") as file:
+    header = file.read()
+ 
+examples = [
+    "a tiny astronaut hatching from an egg on the moon",
+    "a cat holding a sign that says hello world",
+    "an anime illustration of a wiener schnitzel",
+]
+
+css="""
+#col-container {
+    margin: 0 auto;
+    max-width: 520px;
+}
+.image-container img {
+    max-width: 512px;
+    max-height: 512px;
+    margin: 0 auto;
+    border-radius: 0px;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(header)
+        with gr.Row():
+            
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=1,
+                placeholder="Enter your prompt"
+            )
+            
+            run_button = gr.Button("Run", scale=0)
+        
+        result = gr.Image(label="Result", show_label=False, format="jpeg")
+        
+        with gr.Accordion("Advanced Settings", open=False):
+            
+            seed = gr.Slider(
+                label="Seed",
+                minimum=0,
+                maximum=MAX_SEED,
+                step=1,
+                value=0,
+            )
+            
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+            
+            with gr.Row():
+                
+                resolution = gr.Dropdown(
+                    label="Resolution",
+                    value="1024x1024",
+                    choices=[
+                        "1024x1024",
+                        "1024x576",
+                        "576x1024"
+                    ]
+                )
+            
+            with gr.Row():
+
+                guidance_scale = gr.Slider(
+                    label="Guidance Scale",
+                    minimum=1,
+                    maximum=15,
+                    step=0.1,
+                    value=3.5,
+                )
+  
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=28,
+                )
+        
+        gr.Examples(
+            examples = examples,
+            fn = infer,
+            inputs = [prompt],
+            outputs = [result, seed],
+            cache_examples="lazy"
+        )
+
+    gr.on(
+        triggers=[run_button.click, prompt.submit],
+        fn = infer,
+        inputs = [prompt, seed, randomize_seed, resolution, guidance_scale, num_inference_steps],
+        outputs = [result, seed]
+    )
+
+
+demo.queue(default_concurrency_limit=12, max_size=14, api_open=True).launch(max_threads=256, show_api=True)

header.md

@@ -0,0 +1,15 @@
+# Fast FLUX.1 [dev]
+12B param rectified flow transformer guidance-distilled from [FLUX.1 [pro]](https://blackforestlabs.ai/)  
+<div style="display: flex; justify-content: center; align-items: center; text-align: center;">
+  <div>
+    <h1>If the space is too busy and slow head over to the Prodia Explorer</h1>
+    <br>
+    <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
+      <a href="https://blackforestlabs.ai/announcing-black-forest-labs/?utm_source=prodia"><img src="https://img.shields.io/badge/Blog-Black_Forest_Labs-blue"></a>
+      &nbsp;
+      <a href="https://prodia.com/?utm_source=huggingface"><img src="https://img.shields.io/badge/Home_Page-Prodia-green"></a>
+      &nbsp;
+      <a href="https://app.prodia.com/explorer?utm_source=huggingface"><img src="https://img.shields.io/badge/Prodia-Explorer-yellow"></a>
+    </div>
+  </div>
+</div>

requirements.txt

@@ -0,0 +1,2 @@
+requests~=2.32.3
+numpy~=1.26.4