jppy-logo FLUX.2-klein LoRA demo: app + README + requirements

README.md

@@ -1,13 +1,18 @@
 ---
-title: Jppy Logo Demo
-emoji: 🔥
-colorFrom: yellow
-colorTo: blue
+title: JPPY Logo Demo
+emoji: 🎨
+colorFrom: indigo
+colorTo: pink
 sdk: gradio
-sdk_version: 6.26.0
-python_version: '3.13'
+sdk_version: 6.15.1
+python_version: "3.12"
 app_file: app.py
-pinned: false
+models:
+  - black-forest-labs/FLUX.2-klein-base-4b
+  - aiconiccompany/jppy-logo-flux-lora
+tags:
+  - flux
+  - lora
+  - logo-design
+short_description: Generate clean vector-friendly logos with the jppy-logo LoRA
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,94 @@
+import random
+
+import spaces  # MUST come before any CUDA-touching import (ZeroGPU rule 1)
+import gradio as gr
+import torch
+from diffusers import FluxPipeline
+
+MAX_SEED = 2**31 - 1
+BASE_MODEL = "black-forest-labs/FLUX.2-klein-base-4b"
+LORA_REPO = "aiconiccompany/jppy-logo-flux-lora"
+
+# Module-scope load, eager .to("cuda") — ZeroGPU intercepts and packs these weights.
+pipe = FluxPipeline.from_pretrained(BASE_MODEL, torch_dtype=torch.bfloat16).to("cuda")
+pipe.load_lora_weights(LORA_REPO, adapter_name="jppy-logo")
+
+DESCRIPTION = """
+Demo for [aiconiccompany/jppy-logo-flux-lora](https://huggingface.co/aiconiccompany/jppy-logo-flux-lora) —
+a logo-design LoRA for FLUX.2-klein trained on 15,815 clean vector-quality logos.
+Just describe the mark. The `jppy-logo` trigger is appended automatically unless it's already in your prompt.
+"""
+
+
+def build_prompt(prompt: str, append_trigger: bool) -> str:
+    p = prompt.strip()
+    if append_trigger and "jppy-logo" not in p.lower():
+        p = f"{p}, jppy-logo style"
+    return p
+
+
+@spaces.GPU(duration=90)
+def generate(prompt, lora_scale, steps, guidance, width, height, seed, randomize_seed, append_trigger):
+    if not prompt or not prompt.strip():
+        raise gr.Error("Describe the logo first — e.g. 'a minimalist logo for a coffee shop'.")
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+    pipe.set_adapters(["jppy-logo"], adapter_weights=[float(lora_scale)])
+    image = pipe(
+        build_prompt(prompt, append_trigger),
+        num_inference_steps=int(steps),
+        guidance_scale=float(guidance),
+        width=int(width),
+        height=int(height),
+        generator=torch.Generator("cuda").manual_seed(int(seed)),
+    ).images[0]
+    return image, int(seed)
+
+
+with gr.Blocks(title="jppy-logo FLUX.2-klein LoRA demo") as demo:
+    gr.Markdown(f"# jppy-logo — logo LoRA demo\n{DESCRIPTION}")
+    with gr.Row():
+        with gr.Column():
+            prompt = gr.Textbox(
+                label="Prompt",
+                placeholder="a minimalist logo for a coffee shop",
+                lines=2,
+            )
+            append_trigger = gr.Checkbox(value=True, label="Append 'jppy-logo style' trigger")
+            run = gr.Button("Generate logo", variant="primary")
+            with gr.Accordion("Advanced", open=False):
+                lora_scale = gr.Slider(0.0, 1.5, value=1.0, step=0.05, label="LoRA weight (card recommends 0.8–1.0)")
+                steps = gr.Slider(8, 50, value=28, step=1, label="Inference steps")
+                guidance = gr.Slider(1.0, 7.0, value=3.5, step=0.1, label="Guidance scale")
+                width = gr.Slider(512, 1280, value=1024, step=128, label="Width (1024 = crisp vector-friendly)")
+                height = gr.Slider(512, 1280, value=1024, step=128, label="Height")
+                seed = gr.Number(value=0, precision=0, label="Seed")
+                randomize_seed = gr.Checkbox(value=True, label="Randomize seed")
+        with gr.Column():
+            output = gr.Image(label="Generated logo", show_download_button=True)
+            seed_out = gr.Number(label="Used seed", precision=0)
+
+    run.click(
+        generate,
+        inputs=[prompt, lora_scale, steps, guidance, width, height, seed, randomize_seed, append_trigger],
+        outputs=[output, seed_out],
+        api_name="generate",
+    )
+    prompt.submit(generate,
+        inputs=[prompt, lora_scale, steps, guidance, width, height, seed, randomize_seed, append_trigger],
+        outputs=[output, seed_out],
+        api_name="generate_submit",
+    )
+
+    gr.Examples(
+        examples=[
+            ["a minimalist logo for a coffee shop", 1.0, 28, 3.5, 1024, 1024, 0, True, True],
+            ["navy and gold shield monogram logo for a law firm, with text A&L", 1.0, 28, 3.5, 1024, 1024, 0, True, True],
+            ["monochrome geometric tech logo, circular badge silhouette", 1.0, 28, 3.5, 1024, 1024, 0, True, True],
+            ["red and white minimalist food logo", 0.9, 28, 3.5, 1024, 1024, 0, True, True],
+        ],
+        inputs=[prompt, lora_scale, steps, guidance, width, height, seed, randomize_seed, append_trigger],
+    )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -0,0 +1,5 @@
+diffusers
+transformers
+accelerate
+sentencepiece
+protobuf