update

README.md

@@ -1,16 +1,13 @@
 ---
-title: FLUX.1 Dev
-emoji: 🌖
-colorFrom: red
-colorTo: yellow
+title: FLUX.1 Dev with fal.ai through HF Inference Providers
+emoji: ⚡
+colorFrom: yellow
+colorTo: pink
 sdk: gradio
 sdk_version: 5.31.0
 app_file: app.py
 pinned: false
 short_description: FLUX.1-dev with fal.ai ⚡
-hf_oauth: true
-hf_oauth_scopes:
-- inference-api
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,10 +1,115 @@
+import os
+import random
+
 import gradio as gr
+import numpy as np
+from huggingface_hub import InferenceClient, login
+
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 2048
+
+hf_token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_API_KEY")
+login(token=hf_token)
+
+def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
+    client = InferenceClient(provider="fal-ai")
+    image = client.text_to_image(
+        prompt=prompt,
+        width=width,
+        height=height,
+        num_inference_steps=num_inference_steps,
+        seed=seed,
+        model="black-forest-labs/FLUX.1-dev"
+    )
+    return image, seed
+ 
+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",
+]
 
-with gr.Blocks(fill_height=True) as demo:
-    with gr.Sidebar():
-        gr.Markdown("# Inference Provider")
-        gr.Markdown("This Space showcases the black-forest-labs/FLUX.1-dev model, served by the fal-ai API. Sign in with your Hugging Face account to use this API.")
-        button = gr.LoginButton("Sign in")
-    gr.load("models/black-forest-labs/FLUX.1-dev", accept_token=button, provider="fal-ai")
+css="""
+#col-container {
+    margin: 0 auto;
+    max-width: 520px;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
     
-demo.launch()
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(f"""# FLUX.1 [schnell] with fal-ai through HF Inference Providers ⚡
+learn more about HF Inference Providers [here](https://huggingface.co/docs/inference-providers/index)""")
+        
+        with gr.Row():
+            
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=1,
+                placeholder="Enter your prompt",
+                container=False,
+            )
+            
+            run_button = gr.Button("Run", scale=0)
+        
+        result = gr.Image(label="Result", show_label=False, format="png")
+        
+        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():
+                
+                width = gr.Slider(
+                    label="Width",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=1024,
+                )
+                
+                height = gr.Slider(
+                    label="Height",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=1024,
+                )
+            
+            with gr.Row():
+                
+  
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=4,
+                )
+        
+        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, width, height, num_inference_steps],
+        outputs = [result, seed]
+    )
+
+demo.launch(mcp_server=True)

requirements.txt

@@ -0,0 +1,2 @@
+huggingface-hub
+numpy