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app.py

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+import spaces
+import gradio as gr
+import torch
+from PIL import Image
+from diffusers import DiffusionPipeline
+import random
+import uuid
+from typing import Tuple
+import numpy as np
+
+def save_image(img):
+    unique_name = str(uuid.uuid4()) + ".png"
+    img.save(unique_name)
+    return unique_name
+
+def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+    return seed
+
+MAX_SEED = np.iinfo(np.int32).max
+
+if not torch.cuda.is_available():
+    DESCRIPTIONz += "\n<p>⚠️Running on CPU, This may not work on CPU.</p>"
+
+base_model = "black-forest-labs/FLUX.1-dev"
+pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
+
+lora_repo = "strangerzonehf/Flux-Midjourney-Mix-LoRA"
+trigger_word = "midjourney mix"  # Leave trigger_word blank if not used.
+
+pipe.load_lora_weights(lora_repo)
+pipe.to("cuda")
+
+style_list = [
+    {
+        "name": "3840 x 2160",
+        "prompt": "hyper-realistic 8K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
+    },
+    {
+        "name": "2560 x 1440",
+        "prompt": "hyper-realistic 4K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
+    },
+    {
+        "name": "HD+",
+        "prompt": "hyper-realistic 2K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
+    },
+    {
+        "name": "Style Zero",
+        "prompt": "{prompt}",
+    },
+]
+
+styles = {k["name"]: k["prompt"] for k in style_list}
+
+DEFAULT_STYLE_NAME = "3840 x 2160"
+STYLE_NAMES = list(styles.keys())
+
+def apply_style(style_name: str, positive: str) -> str:
+    return styles.get(style_name, styles[DEFAULT_STYLE_NAME]).replace("{prompt}", positive)
+
+@spaces.GPU(duration=60, enable_queue=True)
+def generate(
+    prompt: str,
+    seed: int = 0,
+    width: int = 1024,
+    height: int = 1024,
+    guidance_scale: float = 3,
+    randomize_seed: bool = False,
+    style_name: str = DEFAULT_STYLE_NAME,
+    progress=gr.Progress(track_tqdm=True),
+):
+    seed = int(randomize_seed_fn(seed, randomize_seed))
+
+    positive_prompt = apply_style(style_name, prompt)
+    
+    if trigger_word:
+        positive_prompt = f"{trigger_word} {positive_prompt}"
+
+    images = pipe(
+        prompt=positive_prompt,
+        width=width,
+        height=height,
+        guidance_scale=guidance_scale,
+        num_inference_steps=28,
+        num_images_per_prompt=1,
+        output_type="pil",
+    ).images
+    image_paths = [save_image(img) for img in images]
+    print(image_paths)
+    return image_paths, seed
+
+examples = [
+
+    "midjourney mix, a tiny astronaut hatching from an egg on the moon",
+    "midjourney mix, Intense Red, a black cat is facing the left side of the frame. The cats head is tilted upward, with its eyes closed. Its whiskers are protruding from its mouth, adding a touch of warmth to the scene. The background is a vibrant red, creating a striking contrast with the cats fur.",
+    "midjourney mix, a close-up shot of a womans face, the womans hair is wet, and she is wearing a cream-colored sweater. The background is blurred, and there are red and white signs visible in the background. The womans eyebrows are wet, adding a touch of color to her face. Her lips are a vibrant shade of pink, and her eyes are a darker shade of brown.",
+    "midjourney mix, Woman in a red jacket, snowy, in the style of hyper-realistic portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic, distinctive noses --ar 72:101 --stylize 750 --v 6"
+
+]
+
+css = '''
+.gradio-container{max-width: 799px !important}
+h1{text-align:center}
+footer {
+    visibility: hidden
+}
+'''
+with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
+    with gr.Row():
+        # Left side: Inputs and options
+        with gr.Column(scale=1):
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=1,
+                placeholder="Enter your prompt",
+                container=False,
+            )
+            run_button = gr.Button("Generate as ( 768 x 1024 )🤗", scale=0)
+            
+            with gr.Accordion("Advanced options", open=True, visible=True):
+                seed = gr.Slider(
+                    label="Seed",
+                    minimum=0,
+                    maximum=MAX_SEED,
+                    step=1,
+                    value=0,
+                    visible=True
+                )
+                randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+                
+                with gr.Row(visible=True):
+                    width = gr.Slider(
+                        label="Width",
+                        minimum=512,
+                        maximum=2048,
+                        step=64,
+                        value=768,
+                    )
+                    height = gr.Slider(
+                        label="Height",
+                        minimum=512,
+                        maximum=2048,
+                        step=64,
+                        value=1024,
+                    )
+                
+                with gr.Row():
+                    guidance_scale = gr.Slider(
+                        label="Guidance Scale",
+                        minimum=0.1,
+                        maximum=20.0,
+                        step=0.1,
+                        value=3.0,
+                    )
+                    num_inference_steps = gr.Slider(
+                        label="Number of inference steps",
+                        minimum=1,
+                        maximum=40,
+                        step=1,
+                        value=28,
+                    )
+
+                style_selection = gr.Radio(
+                    show_label=True,
+                    container=True,
+                    interactive=True,
+                    choices=STYLE_NAMES,
+                    value=DEFAULT_STYLE_NAME,
+                    label="Quality Style",
+                )
+        
+        # Right side: Output gallery and examples
+        with gr.Column(scale=2):
+            result = gr.Gallery(label="Result", columns=1, show_label=False)
+            
+            gr.Examples(
+                examples=examples,
+                inputs=prompt,
+                outputs=[result, seed],
+                fn=generate,
+                cache_examples=False,
+            )
+
+    gr.on(
+        triggers=[
+            prompt.submit,
+            run_button.click,
+        ],
+        fn=generate,
+        inputs=[
+            prompt,
+            seed,
+            width,
+            height,
+            guidance_scale,
+            randomize_seed,
+            style_selection,
+        ],
+        outputs=[result, seed],
+        api_name="run",
+    )
+
+if __name__ == "__main__":
+    demo.queue(max_size=40).launch()

requirements.txt

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+torch
+diffusers
+spaces
+transformers
+peft
+sentencepiece
+gradio