initial commit

README.md

@@ -1,12 +1,12 @@
 ---
-title: Flux Half Illustration
-emoji: 🏆
-colorFrom: blue
-colorTo: yellow
+title: FLUX-HALF-ILLUSTRATION
+emoji: 🖥️
+colorFrom: red
+colorTo: red
 sdk: gradio
-sdk_version: 4.41.0
+sdk_version: 4.40.0
 app_file: app.py
-pinned: false
+pinned: true
 license: mit
 ---
 

app.py

@@ -0,0 +1,146 @@
+import gradio as gr
+import numpy as np
+import random
+import spaces
+import torch
+from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler
+from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast
+from huggingface_hub import hf_hub_download
+import os
+
+dtype = torch.bfloat16
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 2048
+
+# Initialize the pipeline globally
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
+
+@spaces.GPU(duration=300)
+def infer(prompt, lora_model, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=5.0, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
+ global pipe
+ 
+ # Load LoRA if specified
+ if lora_model:
+ try:
+ pipe.load_lora_weights(lora_model)
+ except Exception as e:
+ return None, seed, f"Failed to load LoRA model: {str(e)}"
+
+ if randomize_seed:
+ seed = random.randint(0, MAX_SEED)
+ generator = torch.Generator().manual_seed(seed)
+ 
+ try:
+ image = pipe(
+ prompt=prompt, 
+ width=width,
+ height=height,
+ num_inference_steps=num_inference_steps, 
+ generator=generator,
+ guidance_scale=guidance_scale
+ ).images[0]
+ 
+ # Unload LoRA weights after generation
+ if lora_model:
+ pipe.unload_lora_weights()
+ 
+ return image, seed, "Image generated successfully."
+ except Exception as e:
+ return None, seed, f"Error during image generation: {str(e)}"
+
+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;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+ with gr.Column(elem_id="col-container"):
+ gr.Markdown(f"""# FLUX.1 [dev] with LoRA Support
+12B param rectified flow transformer guidance-distilled from [FLUX.1 [pro]](https://blackforestlabs.ai/) 
+[[non-commercial license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)] [[blog](https://blackforestlabs.ai/announcing-black-forest-labs/)] [[model](https://huggingface.co/black-forest-labs/FLUX.1-dev)]
+ """)
+ 
+ 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)
+ 
+ lora_model = gr.Text(
+ label="LoRA Model ID (optional)",
+ placeholder="Enter Hugging Face LoRA model ID",
+ )
+ 
+ result = gr.Image(label="Result", show_label=False)
+ output_message = gr.Textbox(label="Output Message")
+ 
+ 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():
+ 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, lora_model],
+ outputs=[result, seed, output_message],
+ cache_examples="lazy"
+ )
+
+ gr.on(
+ triggers=[run_button.click, prompt.submit],
+ fn=infer,
+ inputs=[prompt, lora_model, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+ outputs=[result, seed, output_message]
+ )
+
+demo.launch()

requirements.txt

@@ -0,0 +1,7 @@
+accelerate
+git+https://github.com/huggingface/diffusers
+torch
+transformers==4.42.4
+xformers
+sentencepiece
+peft