Spaces:
Running
on
Zero
Running
on
Zero
Commit
·
1182d82
1
Parent(s):
9783857
Redesign UI to match Z-Image-Turbo 2K dark theme
Browse files- Two-column layout: fixed input panel (550px) + flexible output area
- Dark theme with black background and dark gray panels
- Replace width/height sliders with aspect ratio dropdown
- Add Apple-style CSS with blue accent color and rounded corners
- Simplified generate_image function with random seed
- Add CLAUDE.md documentation for codebase guidance
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
CLAUDE.md
ADDED
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| 1 |
+
# CLAUDE.md
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| 2 |
+
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| 3 |
+
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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| 4 |
+
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| 5 |
+
## Project Overview
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| 6 |
+
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| 7 |
+
LongCat-Image is a text-to-image generation model built on diffusion transformers, deployed as a Hugging Face Space with a Gradio interface. The model is based on the Flux architecture and supports both text-to-image generation and image editing.
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| 8 |
+
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| 9 |
+
## Running the Application
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| 10 |
+
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| 11 |
+
```bash
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| 12 |
+
# Install dependencies
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| 13 |
+
pip install -r requirements.txt
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| 14 |
+
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| 15 |
+
# Run the Gradio app locally
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| 16 |
+
python app.py
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| 17 |
+
```
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| 18 |
+
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| 19 |
+
The app launches with MCP server enabled on the default Gradio port.
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| 20 |
+
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| 21 |
+
## Architecture
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| 22 |
+
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| 23 |
+
### Core Components
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| 24 |
+
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| 25 |
+
**Transformer Model** (`longcat_image/models/longcat_image_dit.py`):
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| 26 |
+
- `LongCatImageTransformer2DModel`: DiT-based transformer using Flux architecture
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| 27 |
+
- Uses `FluxTransformerBlock` (19 layers) and `FluxSingleTransformerBlock` (38 layers)
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| 28 |
+
- Supports gradient checkpointing for memory efficiency
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| 29 |
+
- Position embeddings via `FluxPosEmbed` with RoPE
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| 30 |
+
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| 31 |
+
**Pipelines** (`longcat_image/pipelines/`):
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| 32 |
+
- `LongCatImagePipeline`: Text-to-image generation with optional prompt rewriting
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| 33 |
+
- `LongCatImageEditPipeline`: Image editing with vision-language conditioning
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| 34 |
+
- Both pipelines inherit from `DiffusionPipeline` and support LoRA, CFG renorm, and VAE tiling/slicing
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| 35 |
+
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| 36 |
+
**Text Encoding**:
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| 37 |
+
- Uses Qwen-based text encoder with chat template formatting
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| 38 |
+
- Prompt template wraps user input between `<|im_start|>` and `<|im_end|>` tokens
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| 39 |
+
- Maximum token length: 512
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| 40 |
+
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| 41 |
+
### Key Configuration
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| 42 |
+
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| 43 |
+
- VAE scale factor: 8 (with 2x2 patch packing, effective 16x)
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| 44 |
+
- Default sample size: 128 (1024px at 8x scale)
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| 45 |
+
- Latent channels: 16
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| 46 |
+
- Image dimensions must be divisible by 32
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| 47 |
+
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| 48 |
+
### Prompt Rewriting
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| 49 |
+
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| 50 |
+
The pipeline includes built-in prompt engineering via `rewire_prompt()` that uses the text encoder to expand simple prompts into detailed descriptions. This can be disabled with `enable_prompt_rewrite=False`.
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| 51 |
+
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| 52 |
+
External prompt polishing is also available via `utils/prompt_utils.py` using Hugging Face Inference API (requires `HF_TOKEN`).
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| 53 |
+
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| 54 |
+
## Model Loading
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| 55 |
+
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| 56 |
+
```python
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| 57 |
+
from longcat_image.models import LongCatImageTransformer2DModel
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| 58 |
+
from longcat_image.pipelines import LongCatImagePipeline
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| 59 |
+
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+
MODEL_REPO = "meituan-longcat/LongCat-Image"
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+
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+
transformer = LongCatImageTransformer2DModel.from_pretrained(
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| 63 |
+
MODEL_REPO, subfolder='transformer', torch_dtype=torch.bfloat16
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+
)
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+
pipe = LongCatImagePipeline.from_pretrained(MODEL_REPO, transformer=transformer)
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| 66 |
+
```
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+
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## Environment Variables
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+
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+
- `HF_TOKEN`: Required for prompt polishing via external API
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app.py
CHANGED
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import gradio as gr
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import numpy as np
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-
import os, random, json, spaces, torch, time
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import torch
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from transformers import AutoProcessor, AutoTokenizer
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from utils.prompt_utils import polish_prompt
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-
# GIT_DIR = "LongCat-Image"
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# GIT_URL = "https://github.com/yourusername/LongCat-Image.git"
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-
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# if not os.path.isdir(GIT_DIR):
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# subprocess.run(["git", "clone", GIT_URL])
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# else:
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# print("Folder already exists.")
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MODEL_REPO = "meituan-longcat/LongCat-Image"
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MAX_SEED = np.iinfo(np.int32).max
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-
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subfolder = 'tokenizer'
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)
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transformer = LongCatImageTransformer2DModel.from_pretrained(
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MODEL_REPO ,
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subfolder = 'transformer',
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torch_dtype=torch.bfloat16,
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use_safetensors=True
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).to("cuda")
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text_processor=text_processor
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)
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pipe.to("cuda", torch.bfloat16)
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def prepare(prompt, is_polish_prompt):
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if not is_polish_prompt: return prompt, False
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polished_prompt = polish_prompt(prompt)
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return polished_prompt, True
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@spaces.GPU
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def
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prompt,
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width=1024,
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height=1024,
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seed=42,
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randomize_seed=True,
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guidance_scale=1.5,
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num_inference_steps=8,
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progress=gr.Progress(track_tqdm=True),
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):
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-
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#
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generator = torch.Generator().manual_seed(seed)
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content = f.read()
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return content
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max-width: 960px;
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}
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"""
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gr.Examples(examples=examples, inputs=[prompt])
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| 170 |
-
# gr.Markdown(read_file("static/footer.md"))
|
| 171 |
-
|
| 172 |
-
run_button.click(
|
| 173 |
-
fn=prepare,
|
| 174 |
-
inputs=[prompt, is_polish_prompt],
|
| 175 |
-
outputs=[polished_prompt, is_polish_prompt]
|
| 176 |
-
).then(
|
| 177 |
-
fn=inference,
|
| 178 |
-
inputs=[
|
| 179 |
-
polished_prompt,
|
| 180 |
-
negative_prompt,
|
| 181 |
-
width,
|
| 182 |
-
height,
|
| 183 |
-
seed,
|
| 184 |
-
randomize_seed,
|
| 185 |
-
guidance_scale,
|
| 186 |
-
num_inference_steps,
|
| 187 |
-
],
|
| 188 |
-
outputs=[output_image, seed],
|
| 189 |
)
|
| 190 |
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|
| 191 |
|
| 192 |
if __name__ == "__main__":
|
| 193 |
-
demo.launch(
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|
| 1 |
import gradio as gr
|
| 2 |
import numpy as np
|
| 3 |
+
import os, random, json, spaces, torch, time
|
| 4 |
|
| 5 |
import torch
|
| 6 |
from transformers import AutoProcessor, AutoTokenizer
|
|
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|
| 11 |
from utils.prompt_utils import polish_prompt
|
| 12 |
|
| 13 |
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|
| 14 |
MODEL_REPO = "meituan-longcat/LongCat-Image"
|
| 15 |
MAX_SEED = np.iinfo(np.int32).max
|
| 16 |
|
| 17 |
+
print("Loading LongCat-Image model...")
|
| 18 |
+
text_processor = AutoTokenizer.from_pretrained(
|
| 19 |
+
MODEL_REPO,
|
| 20 |
subfolder = 'tokenizer'
|
| 21 |
)
|
| 22 |
+
transformer = LongCatImageTransformer2DModel.from_pretrained(
|
| 23 |
+
MODEL_REPO ,
|
| 24 |
+
subfolder = 'transformer',
|
| 25 |
+
torch_dtype=torch.bfloat16,
|
| 26 |
use_safetensors=True
|
| 27 |
).to("cuda")
|
| 28 |
|
|
|
|
| 32 |
text_processor=text_processor
|
| 33 |
)
|
| 34 |
pipe.to("cuda", torch.bfloat16)
|
| 35 |
+
print("Model loaded successfully!")
|
| 36 |
|
|
|
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|
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|
|
|
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|
| 37 |
|
| 38 |
@spaces.GPU
|
| 39 |
+
def generate_image(
|
| 40 |
prompt,
|
| 41 |
+
aspect_ratio,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
progress=gr.Progress(track_tqdm=True),
|
| 43 |
):
|
| 44 |
+
"""Generate an image using LongCat-Image model."""
|
| 45 |
+
if not prompt.strip():
|
| 46 |
+
raise gr.Error("Please enter a prompt to generate an image.")
|
| 47 |
+
|
| 48 |
+
# Parse aspect ratio to get dimensions
|
| 49 |
+
aspect_ratio_map = {
|
| 50 |
+
"1:1 (1024x1024)": (1024, 1024),
|
| 51 |
+
"4:3 (1024x768)": (1024, 768),
|
| 52 |
+
"3:4 (768x1024)": (768, 1024),
|
| 53 |
+
"16:9 (1024x576)": (1024, 576),
|
| 54 |
+
"9:16 (576x1024)": (576, 1024),
|
| 55 |
+
"3:2 (1024x672)": (1024, 672),
|
| 56 |
+
"2:3 (672x1024)": (672, 1024),
|
| 57 |
+
}
|
| 58 |
|
| 59 |
+
width, height = aspect_ratio_map.get(aspect_ratio, (1024, 1024))
|
| 60 |
|
| 61 |
+
# Generate random seed
|
| 62 |
+
seed = random.randint(0, MAX_SEED)
|
| 63 |
generator = torch.Generator().manual_seed(seed)
|
| 64 |
|
| 65 |
+
progress(0.1, desc="Generating image...")
|
| 66 |
+
|
| 67 |
+
try:
|
| 68 |
+
image = pipe(
|
| 69 |
+
prompt=prompt,
|
| 70 |
+
negative_prompt="blurry ugly bad",
|
| 71 |
+
width=width,
|
| 72 |
+
height=height,
|
| 73 |
+
generator=generator,
|
| 74 |
+
guidance_scale=1.5,
|
| 75 |
+
num_inference_steps=20,
|
| 76 |
+
enable_prompt_rewrite=False
|
| 77 |
+
).images[0]
|
| 78 |
+
|
| 79 |
+
progress(1.0, desc="Complete!")
|
| 80 |
+
return image
|
| 81 |
+
|
| 82 |
+
except Exception as e:
|
| 83 |
+
raise gr.Error(f"Generation failed: {str(e)}")
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
# Apple-style CSS for dark theme
|
| 87 |
+
apple_css = """
|
| 88 |
+
/* Global Styles */
|
| 89 |
+
.gradio-container {
|
| 90 |
+
max-width: 85vw !important;
|
| 91 |
+
margin: 0 auto !important;
|
| 92 |
+
padding: 48px 20px !important;
|
| 93 |
+
font-family: -apple-system, BlinkMacSystemFont, 'Inter', 'Segoe UI', 'Roboto', sans-serif !important;
|
| 94 |
+
}
|
| 95 |
+
|
| 96 |
+
/* Disable all transitions globally to prevent layout shifts */
|
| 97 |
+
* {
|
| 98 |
+
transition: none !important;
|
| 99 |
+
animation: none !important;
|
| 100 |
+
}
|
| 101 |
+
|
| 102 |
+
/* Header */
|
| 103 |
+
.header-container {
|
| 104 |
+
text-align: left;
|
| 105 |
+
margin-bottom: 24px;
|
| 106 |
+
}
|
| 107 |
+
|
| 108 |
+
.main-title {
|
| 109 |
+
font-size: 32px !important;
|
| 110 |
+
font-weight: 600 !important;
|
| 111 |
+
letter-spacing: -0.02em !important;
|
| 112 |
+
line-height: 1.07 !important;
|
| 113 |
+
color: #f5f5f7 !important;
|
| 114 |
+
margin: 0 0 16px 0 !important;
|
| 115 |
+
}
|
| 116 |
+
|
| 117 |
+
/* Input Section */
|
| 118 |
+
.input-section {
|
| 119 |
+
background: #1d1d1f;
|
| 120 |
+
border-radius: 18px;
|
| 121 |
+
padding: 32px;
|
| 122 |
+
box-shadow: 0 2px 12px rgba(0, 0, 0, 0.4);
|
| 123 |
+
}
|
| 124 |
+
|
| 125 |
+
/* Textbox */
|
| 126 |
+
textarea {
|
| 127 |
+
font-size: 17px !important;
|
| 128 |
+
line-height: 1.47 !important;
|
| 129 |
+
border-radius: 12px !important;
|
| 130 |
+
border: 1px solid #424245 !important;
|
| 131 |
+
padding: 12px 16px !important;
|
| 132 |
+
background: #1d1d1f !important;
|
| 133 |
+
color: #f5f5f7 !important;
|
| 134 |
+
font-family: -apple-system, BlinkMacSystemFont, 'Inter', sans-serif !important;
|
| 135 |
+
min-height: 200px !important;
|
| 136 |
+
max-height: 400px !important;
|
| 137 |
+
height: 200px !important;
|
| 138 |
+
resize: vertical !important;
|
| 139 |
+
overflow-y: auto !important;
|
| 140 |
+
margin-bottom: 16px !important;
|
| 141 |
+
}
|
| 142 |
+
|
| 143 |
+
textarea:focus {
|
| 144 |
+
border-color: #0071e3 !important;
|
| 145 |
+
box-shadow: 0 0 0 4px rgba(0, 113, 227, 0.15) !important;
|
| 146 |
+
outline: none !important;
|
| 147 |
+
}
|
| 148 |
+
|
| 149 |
+
textarea::placeholder {
|
| 150 |
+
color: #86868b !important;
|
| 151 |
+
}
|
| 152 |
+
|
| 153 |
+
/* Button */
|
| 154 |
+
button.primary {
|
| 155 |
+
font-size: 17px !important;
|
| 156 |
+
font-weight: 400 !important;
|
| 157 |
+
padding: 12px 32px !important;
|
| 158 |
+
border-radius: 980px !important;
|
| 159 |
+
background: #0071e3 !important;
|
| 160 |
+
border: none !important;
|
| 161 |
+
color: #ffffff !important;
|
| 162 |
+
min-height: 44px !important;
|
| 163 |
+
letter-spacing: -0.01em !important;
|
| 164 |
+
cursor: pointer !important;
|
| 165 |
+
}
|
| 166 |
+
|
| 167 |
+
button.primary:hover {
|
| 168 |
+
background: #0077ed !important;
|
| 169 |
+
}
|
| 170 |
+
|
| 171 |
+
button.primary:active {
|
| 172 |
+
opacity: 0.9 !important;
|
| 173 |
+
}
|
| 174 |
+
|
| 175 |
+
/* Output Section */
|
| 176 |
+
div.output-section {
|
| 177 |
+
background: #1d1d1f;
|
| 178 |
+
border-radius: 18px;
|
| 179 |
+
padding: 32px;
|
| 180 |
+
box-shadow: 0 2px 12px rgba(0, 0, 0, 0.4);
|
| 181 |
+
overflow: hidden;
|
| 182 |
+
display: flex;
|
| 183 |
+
align-items: center;
|
| 184 |
+
justify-content: center;
|
| 185 |
+
min-height: 80vh;
|
| 186 |
+
max-height: 90vh;
|
| 187 |
+
will-change: auto;
|
| 188 |
+
position: relative;
|
| 189 |
+
}
|
| 190 |
+
|
| 191 |
+
.output-section * {
|
| 192 |
+
transform: none !important;
|
| 193 |
+
transition: none !important;
|
| 194 |
+
animation: none !important;
|
| 195 |
+
}
|
| 196 |
+
|
| 197 |
+
.output-section img {
|
| 198 |
+
border-radius: 12px !important;
|
| 199 |
+
max-width: 100% !important;
|
| 200 |
+
max-height: 85vh !important;
|
| 201 |
+
width: auto !important;
|
| 202 |
+
height: auto !important;
|
| 203 |
+
object-fit: contain !important;
|
| 204 |
+
transform: none !important;
|
| 205 |
+
transition: none !important;
|
| 206 |
+
animation: none !important;
|
| 207 |
+
backface-visibility: hidden;
|
| 208 |
+
-webkit-backface-visibility: hidden;
|
| 209 |
+
}
|
| 210 |
+
|
| 211 |
+
/* Make progress/generation area fill more space */
|
| 212 |
+
.output-section > div {
|
| 213 |
+
width: 100% !important;
|
| 214 |
+
min-height: 75vh !important;
|
| 215 |
+
max-height: 85vh !important;
|
| 216 |
+
display: flex !important;
|
| 217 |
+
align-items: center !important;
|
| 218 |
+
justify-content: center !important;
|
| 219 |
+
}
|
| 220 |
+
|
| 221 |
+
.output-section > div > div {
|
| 222 |
+
min-height: 75vh !important;
|
| 223 |
+
max-height: 85vh !important;
|
| 224 |
+
width: 100% !important;
|
| 225 |
+
display: flex !important;
|
| 226 |
+
align-items: center !important;
|
| 227 |
+
justify-content: center !important;
|
| 228 |
+
}
|
| 229 |
+
|
| 230 |
+
.output-section * {
|
| 231 |
+
max-width: 100% !important;
|
| 232 |
+
}
|
| 233 |
+
|
| 234 |
+
/* Progress */
|
| 235 |
+
.progress-bar {
|
| 236 |
+
background: #0071e3 !important;
|
| 237 |
+
border-radius: 4px !important;
|
| 238 |
+
}
|
| 239 |
+
|
| 240 |
+
/* Labels */
|
| 241 |
+
label {
|
| 242 |
+
color: #f5f5f7 !important;
|
| 243 |
+
}
|
| 244 |
+
|
| 245 |
+
/* Dropdown */
|
| 246 |
+
.gr-dropdown {
|
| 247 |
+
background: #1d1d1f !important;
|
| 248 |
+
border: 1px solid #424245 !important;
|
| 249 |
+
border-radius: 12px !important;
|
| 250 |
+
color: #f5f5f7 !important;
|
| 251 |
+
}
|
| 252 |
+
|
| 253 |
+
select, .wrap-inner {
|
| 254 |
+
background: #1d1d1f !important;
|
| 255 |
+
color: #f5f5f7 !important;
|
| 256 |
+
border-color: #424245 !important;
|
| 257 |
+
}
|
| 258 |
+
|
| 259 |
+
/* Fix column width to prevent shrinking */
|
| 260 |
+
.input-section {
|
| 261 |
+
min-width: 550px !important;
|
| 262 |
+
max-width: 550px !important;
|
| 263 |
+
width: 550px !important;
|
| 264 |
+
flex-shrink: 0 !important;
|
| 265 |
+
flex-grow: 0 !important;
|
| 266 |
+
}
|
| 267 |
+
|
| 268 |
+
/* Lock the output section to fill remaining space */
|
| 269 |
+
.output-section {
|
| 270 |
+
flex-grow: 1 !important;
|
| 271 |
+
flex-shrink: 0 !important;
|
| 272 |
+
flex-basis: auto !important;
|
| 273 |
+
}
|
| 274 |
+
|
| 275 |
+
/* Prevent Gradio columns from flexing */
|
| 276 |
+
.gradio-column {
|
| 277 |
+
flex-shrink: 0 !important;
|
| 278 |
+
}
|
| 279 |
+
|
| 280 |
+
/* Stabilize row layout */
|
| 281 |
+
.gradio-row,
|
| 282 |
+
div.gradio-row,
|
| 283 |
+
.gradio-container .gradio-row,
|
| 284 |
+
.gradio-container > .gradio-row,
|
| 285 |
+
.gradio-container div.gradio-row {
|
| 286 |
+
align-items: flex-start !important;
|
| 287 |
+
flex-direction: row !important;
|
| 288 |
+
display: flex !important;
|
| 289 |
+
flex-wrap: nowrap !important;
|
| 290 |
+
width: 100% !important;
|
| 291 |
+
}
|
| 292 |
+
|
| 293 |
+
/* Force columns to stay inline */
|
| 294 |
+
.gradio-row > .gradio-column,
|
| 295 |
+
.gradio-row > div {
|
| 296 |
+
display: inline-flex !important;
|
| 297 |
+
vertical-align: top !important;
|
| 298 |
+
}
|
| 299 |
+
|
| 300 |
+
/* First column - input section */
|
| 301 |
+
.gradio-row > .gradio-column:first-child,
|
| 302 |
+
.gradio-row > div:first-child {
|
| 303 |
+
width: 550px !important;
|
| 304 |
+
min-width: 550px !important;
|
| 305 |
+
max-width: 550px !important;
|
| 306 |
+
flex: 0 0 550px !important;
|
| 307 |
+
}
|
| 308 |
+
|
| 309 |
+
/* Second column - output section */
|
| 310 |
+
.gradio-row > .gradio-column:last-child,
|
| 311 |
+
.gradio-row > div:last-child {
|
| 312 |
+
flex: 1 1 auto !important;
|
| 313 |
+
min-width: 0 !important;
|
| 314 |
+
}
|
| 315 |
+
|
| 316 |
+
/* Hide progress indicator in input section */
|
| 317 |
+
.input-section .progress-container,
|
| 318 |
+
.input-section [class*="progress-bar"],
|
| 319 |
+
.input-section [class*="progress-text"],
|
| 320 |
+
.input-section [class*="progress-level"],
|
| 321 |
+
.input-section .progress,
|
| 322 |
+
.input-section .eta-bar {
|
| 323 |
+
display: none !important;
|
| 324 |
+
visibility: hidden !important;
|
| 325 |
+
height: 0 !important;
|
| 326 |
+
overflow: hidden !important;
|
| 327 |
+
}
|
| 328 |
+
|
| 329 |
+
/* Override responsive behavior */
|
| 330 |
+
@media (max-width: 2000px) {
|
| 331 |
+
.gradio-row,
|
| 332 |
+
div.gradio-row,
|
| 333 |
+
.gradio-container .gradio-row,
|
| 334 |
+
.gradio-container > .gradio-row {
|
| 335 |
+
flex-direction: row !important;
|
| 336 |
+
flex-wrap: nowrap !important;
|
| 337 |
+
display: flex !important;
|
| 338 |
+
}
|
| 339 |
+
|
| 340 |
+
.gradio-row > .gradio-column,
|
| 341 |
+
.gradio-row > div {
|
| 342 |
+
display: inline-flex !important;
|
| 343 |
+
}
|
| 344 |
+
|
| 345 |
+
.gradio-row > .gradio-column:first-child,
|
| 346 |
+
.gradio-row > div:first-child {
|
| 347 |
+
width: 550px !important;
|
| 348 |
+
min-width: 550px !important;
|
| 349 |
+
max-width: 550px !important;
|
| 350 |
+
flex: 0 0 550px !important;
|
| 351 |
+
}
|
| 352 |
+
|
| 353 |
+
.gradio-row > .gradio-column:last-child,
|
| 354 |
+
.gradio-row > div:last-child {
|
| 355 |
+
flex: 1 1 auto !important;
|
| 356 |
+
min-width: 0 !important;
|
| 357 |
+
}
|
| 358 |
+
}
|
| 359 |
+
|
| 360 |
+
/* Responsive text sizing only */
|
| 361 |
+
@media (max-width: 734px) {
|
| 362 |
+
.main-title {
|
| 363 |
+
font-size: 28px !important;
|
| 364 |
+
}
|
| 365 |
+
|
| 366 |
+
.gradio-container {
|
| 367 |
+
padding: 32px 16px !important;
|
| 368 |
+
}
|
| 369 |
|
| 370 |
+
.input-section,
|
| 371 |
+
.output-section {
|
| 372 |
+
padding: 24px !important;
|
| 373 |
+
}
|
| 374 |
|
| 375 |
+
/* FORCE horizontal layout even on mobile */
|
| 376 |
+
.gradio-row,
|
| 377 |
+
div.gradio-row {
|
| 378 |
+
flex-direction: row !important;
|
| 379 |
+
flex-wrap: nowrap !important;
|
| 380 |
+
}
|
| 381 |
+
}
|
| 382 |
+
|
| 383 |
+
/* Hide Gradio footer */
|
| 384 |
+
footer {
|
| 385 |
+
display: none !important;
|
| 386 |
+
}
|
| 387 |
+
|
| 388 |
+
.footer {
|
| 389 |
+
display: none !important;
|
| 390 |
+
}
|
| 391 |
+
"""
|
| 392 |
+
|
| 393 |
+
# JavaScript to force horizontal layout
|
| 394 |
+
js_code = """
|
| 395 |
+
function() {
|
| 396 |
+
function forceHorizontalLayout() {
|
| 397 |
+
// Set container width
|
| 398 |
+
const container = document.querySelector('.gradio-container');
|
| 399 |
+
if (container) {
|
| 400 |
+
container.style.maxWidth = '85vw';
|
| 401 |
+
container.style.width = '85vw';
|
| 402 |
+
}
|
| 403 |
+
|
| 404 |
+
// Target the main row specifically
|
| 405 |
+
const mainRow = document.getElementById('main-row');
|
| 406 |
+
if (mainRow) {
|
| 407 |
+
mainRow.style.flexDirection = 'row';
|
| 408 |
+
mainRow.style.flexWrap = 'nowrap';
|
| 409 |
+
mainRow.style.display = 'flex';
|
| 410 |
+
mainRow.style.width = '100%';
|
| 411 |
+
}
|
| 412 |
+
|
| 413 |
+
// Force ALL rows to stay horizontal
|
| 414 |
+
const rows = document.querySelectorAll('.gradio-row');
|
| 415 |
+
rows.forEach(row => {
|
| 416 |
+
row.style.flexDirection = 'row';
|
| 417 |
+
row.style.flexWrap = 'nowrap';
|
| 418 |
+
row.style.display = 'flex';
|
| 419 |
+
});
|
| 420 |
+
|
| 421 |
+
// Target specific columns
|
| 422 |
+
const inputCol = document.getElementById('input-column');
|
| 423 |
+
if (inputCol) {
|
| 424 |
+
inputCol.style.width = '550px';
|
| 425 |
+
inputCol.style.minWidth = '550px';
|
| 426 |
+
inputCol.style.maxWidth = '550px';
|
| 427 |
+
inputCol.style.flex = '0 0 550px';
|
| 428 |
+
inputCol.style.display = 'inline-flex';
|
| 429 |
+
inputCol.style.flexDirection = 'column';
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
const outputCol = document.getElementById('output-column');
|
| 433 |
+
if (outputCol) {
|
| 434 |
+
outputCol.style.flex = '1 1 auto';
|
| 435 |
+
outputCol.style.minWidth = '0';
|
| 436 |
+
outputCol.style.display = 'inline-flex';
|
| 437 |
+
outputCol.style.flexDirection = 'column';
|
| 438 |
+
}
|
| 439 |
+
|
| 440 |
+
// Fallback: force all column children of rows
|
| 441 |
+
const columns = document.querySelectorAll('.gradio-row > .gradio-column, .gradio-row > div');
|
| 442 |
+
columns.forEach((col, index) => {
|
| 443 |
+
if (index === 0) {
|
| 444 |
+
col.style.width = '550px';
|
| 445 |
+
col.style.minWidth = '550px';
|
| 446 |
+
col.style.maxWidth = '550px';
|
| 447 |
+
col.style.flex = '0 0 550px';
|
| 448 |
+
} else if (index === 1) {
|
| 449 |
+
col.style.flex = '1 1 auto';
|
| 450 |
+
col.style.minWidth = '0';
|
| 451 |
+
}
|
| 452 |
+
col.style.display = 'inline-flex';
|
| 453 |
+
});
|
| 454 |
+
}
|
| 455 |
|
| 456 |
+
// Run immediately
|
| 457 |
+
forceHorizontalLayout();
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|
| 458 |
|
| 459 |
+
// Run again after delays to override Gradio's dynamic changes
|
| 460 |
+
setTimeout(forceHorizontalLayout, 100);
|
| 461 |
+
setTimeout(forceHorizontalLayout, 500);
|
| 462 |
+
setTimeout(forceHorizontalLayout, 1000);
|
| 463 |
+
setTimeout(forceHorizontalLayout, 2000);
|
| 464 |
|
| 465 |
+
// Set up mutation observer to reapply on DOM changes
|
| 466 |
+
const observer = new MutationObserver(forceHorizontalLayout);
|
| 467 |
+
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
|
|
|
|
| 468 |
}
|
| 469 |
"""
|
| 470 |
|
| 471 |
+
# Create the interface
|
| 472 |
+
with gr.Blocks(
|
| 473 |
+
title="LongCat Image",
|
| 474 |
+
fill_height=False,
|
| 475 |
+
) as demo:
|
| 476 |
+
|
| 477 |
+
# Two-column layout
|
| 478 |
+
with gr.Row(equal_height=False, variant="panel", elem_id="main-row"):
|
| 479 |
+
|
| 480 |
+
# Left column - Input controls (fixed width)
|
| 481 |
+
with gr.Column(scale=0, min_width=550, elem_classes="input-section", elem_id="input-column"):
|
| 482 |
+
|
| 483 |
+
# Title above prompt box
|
| 484 |
+
gr.HTML("""
|
| 485 |
+
<div class="header-container">
|
| 486 |
+
<h1 class="main-title">LongCat Image</h1>
|
| 487 |
+
</div>
|
| 488 |
+
""")
|
| 489 |
+
|
| 490 |
+
prompt = gr.Textbox(
|
| 491 |
+
placeholder="Describe the image you want to create...",
|
| 492 |
+
value="Five shimmering goldfish weave through crevices between stones; four are red-and-white, while one is silver-white. By the pond's edge, a golden shaded British Shorthair cat watches them intently, counting on blind luck. Watercolor style.",
|
| 493 |
+
lines=7,
|
| 494 |
+
max_lines=7,
|
| 495 |
+
label="Prompt",
|
| 496 |
+
show_label=True,
|
| 497 |
+
container=True,
|
| 498 |
+
autoscroll=False,
|
| 499 |
+
)
|
| 500 |
+
|
| 501 |
+
aspect_ratio = gr.Dropdown(
|
| 502 |
+
choices=[
|
| 503 |
+
"1:1 (1024x1024)",
|
| 504 |
+
"4:3 (1024x768)",
|
| 505 |
+
"3:4 (768x1024)",
|
| 506 |
+
"16:9 (1024x576)",
|
| 507 |
+
"9:16 (576x1024)",
|
| 508 |
+
"3:2 (1024x672)",
|
| 509 |
+
"2:3 (672x1024)",
|
| 510 |
+
],
|
| 511 |
+
value="1:1 (1024x1024)",
|
| 512 |
+
label="Aspect Ratio",
|
| 513 |
+
show_label=True,
|
| 514 |
+
container=True,
|
| 515 |
+
)
|
| 516 |
+
|
| 517 |
+
generate_btn = gr.Button(
|
| 518 |
+
"Generate",
|
| 519 |
+
variant="primary",
|
| 520 |
+
size="lg",
|
| 521 |
+
elem_classes="primary"
|
| 522 |
+
)
|
| 523 |
+
|
| 524 |
+
# Right column - Image output
|
| 525 |
+
with gr.Column(scale=2, elem_classes="output-section", elem_id="output-column"):
|
| 526 |
+
output_image = gr.Image(
|
| 527 |
+
label="Result",
|
| 528 |
+
show_label=False,
|
| 529 |
+
type="pil",
|
| 530 |
+
format="png",
|
| 531 |
+
)
|
| 532 |
+
|
| 533 |
+
# Event handlers
|
| 534 |
+
generate_btn.click(
|
| 535 |
+
fn=generate_image,
|
| 536 |
+
inputs=[prompt, aspect_ratio],
|
| 537 |
+
outputs=output_image,
|
| 538 |
+
show_progress="full"
|
| 539 |
+
)
|
| 540 |
+
|
| 541 |
+
prompt.submit(
|
| 542 |
+
fn=generate_image,
|
| 543 |
+
inputs=[prompt, aspect_ratio],
|
| 544 |
+
outputs=output_image,
|
| 545 |
+
show_progress="full"
|
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|
| 546 |
)
|
| 547 |
|
| 548 |
+
# Load event to force width with JavaScript
|
| 549 |
+
demo.load(None, None, None, js=js_code)
|
| 550 |
+
|
| 551 |
|
| 552 |
if __name__ == "__main__":
|
| 553 |
+
demo.launch(
|
| 554 |
+
mcp_server=True,
|
| 555 |
+
share=False,
|
| 556 |
+
show_error=True,
|
| 557 |
+
theme=gr.themes.Soft(
|
| 558 |
+
primary_hue=gr.themes.colors.blue,
|
| 559 |
+
secondary_hue=gr.themes.colors.slate,
|
| 560 |
+
neutral_hue=gr.themes.colors.gray,
|
| 561 |
+
spacing_size=gr.themes.sizes.spacing_lg,
|
| 562 |
+
radius_size=gr.themes.sizes.radius_lg,
|
| 563 |
+
text_size=gr.themes.sizes.text_md,
|
| 564 |
+
font=[gr.themes.GoogleFont("Inter"), "SF Pro Display", "-apple-system", "BlinkMacSystemFont", "system-ui", "sans-serif"],
|
| 565 |
+
font_mono=[gr.themes.GoogleFont("JetBrains Mono"), "SF Mono", "ui-monospace", "monospace"],
|
| 566 |
+
).set(
|
| 567 |
+
body_background_fill='#000000',
|
| 568 |
+
body_background_fill_dark='#000000',
|
| 569 |
+
button_primary_background_fill='#0071e3',
|
| 570 |
+
button_primary_background_fill_hover='#0077ed',
|
| 571 |
+
button_primary_text_color='#ffffff',
|
| 572 |
+
block_background_fill='#1d1d1f',
|
| 573 |
+
block_background_fill_dark='#1d1d1f',
|
| 574 |
+
block_border_width='0px',
|
| 575 |
+
block_shadow='0 2px 12px rgba(0, 0, 0, 0.4)',
|
| 576 |
+
block_shadow_dark='0 2px 12px rgba(0, 0, 0, 0.4)',
|
| 577 |
+
input_background_fill='#1d1d1f',
|
| 578 |
+
input_background_fill_dark='#1d1d1f',
|
| 579 |
+
input_border_width='1px',
|
| 580 |
+
input_border_color='#424245',
|
| 581 |
+
input_border_color_dark='#424245',
|
| 582 |
+
input_shadow='none',
|
| 583 |
+
input_shadow_focus='0 0 0 4px rgba(0, 113, 227, 0.15)',
|
| 584 |
+
),
|
| 585 |
+
css=apple_css,
|
| 586 |
+
)
|