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---
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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language:
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- en
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tags:
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- flux
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- diffusers
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- lora
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- kontext
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- web-design
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- ui-ux
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- design-transformation
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- instruction-following
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base_model: black-forest-labs/FLUX.1-dev
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pipeline_tag: text-to-image
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---
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# InstructDesign-Kontext
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Fine-tuned FLUX.1 Kontext [dev] model for transforming web interfaces with natural language instructions.
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## Model Description
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InstructDesign-Kontext is a LoRA fine-tuned version of FLUX.1 Kontext [dev] specialized in:
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- Web interface transformations
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- UI/UX redesigns
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- Style transfers (dark mode, glassmorphism, etc.)
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- Device mockup generation
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- Design system applications
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### Training Details
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- **Base Model**: FLUX.1 Kontext [dev]
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- **Training Method**: LoRA fine-tuning
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- **Dataset**: 937 web interface transformation pairs
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- **Training Steps**: 10,000
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- **Training Time**: ~2 weeks (iterative)
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## File Structure
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```
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βββ unet/
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β βββ flux1-kontext-dev.safetensors (23GB)
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βββ loras/
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β βββ flux_kontext_lora_v4_consolidated_000010000.safetensors (2.6GB)
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βββ clip/
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β βββ clip_l.safetensors (235MB)
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β βββ t5xxl_fp8_e4m3fn_scaled.safetensors (4.9GB)
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βββ vae/
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β βββ ae.safetensors (320MB)
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βββ workflow/
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βββ workflow_api.json
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```
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## Usage with ComfyUI
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### 1. Download Models
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Download all model files to your ComfyUI models directory:
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```bash
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# Main model
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ComfyUI/models/diffusion_models/flux1-kontext-dev.safetensors
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# LoRA
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ComfyUI/models/loras/flux_kontext_lora_v4_consolidated_000010000.safetensors
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# CLIP encoders
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ComfyUI/models/clip/clip_l.safetensors
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ComfyUI/models/clip/t5xxl_fp8_e4m3fn_scaled.safetensors
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# VAE
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ComfyUI/models/vae/ae.safetensors
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```
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### 2. Load Workflow
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Import the `workflow/workflow_api.json` into ComfyUI.
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### 3. Configure Parameters
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Default optimal settings:
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- **Steps**: 20
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- **CFG**: 1.0
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- **Guidance**: 5.0
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- **Sampler**: er_sde
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- **Scheduler**: kl_optimal
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- **LoRA Strength**: 1.0
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## API Usage
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See the [GitHub repository](https://github.com/tercumantanumut/instructdesign-kontext) for full API implementation.
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```python
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# Example API request
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import requests
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response = requests.post("http://localhost:8000/api/generate", json={
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"positive_prompt": "Transform this interface to dark mode with purple accents",
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"input_image": "website.png",
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"seed": 42,
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"steps": 20,
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"cfg": 1.0,
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"guidance": 5.0
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})
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```
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## Transformation Capabilities
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### Style Transformations
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- Dark/light mode conversion
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- Glassmorphism effects
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- Neumorphic design
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- Material Design application
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- iOS/Android style transfer
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### UI/UX Improvements
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- Layout modernization
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- Accessibility enhancements
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- Color scheme updates
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- Typography improvements
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- Interactive element additions
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### Mockup Generation
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- Device frame placement
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- Environment contextualization
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- Billboard/poster mockups
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- Multi-device presentations
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## Example Prompts
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```
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"Transform this website to dark mode with purple gradient accents"
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"Apply glassmorphism effect with blurred backgrounds"
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"Convert to material design 3 with rounded corners"
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"Place this interface on an iPhone 15 Pro in a coffee shop"
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"Modernize this dated interface with current design trends"
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```
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## Performance
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- **Inference Time**: ~45-70 seconds (NVIDIA GPU 16GB+)
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- **VRAM Requirements**: 16GB minimum, 24GB recommended
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- **Quality**: 85%+ instruction adherence rate
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## Docker Deployment
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Complete Docker setup available in the GitHub repository with:
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- ComfyUI container
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- FastAPI wrapper
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- Queue management
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- Auto-scaling workers
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## Limitations
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- Requires significant VRAM (16GB+)
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- Best results with clear, specific instructions
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- Limited to single image transformations (no batch in single inference)
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## Citation
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If you use this model, please cite:
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```bibtex
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@misc{instructdesign-kontext,
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title={InstructDesign-Kontext: Web Interface Transformation with FLUX},
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author={tercumantanumut},
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year={2024},
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publisher={Hugging Face}
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}
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```
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## License
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This model is subject to the FLUX.1 [dev] Non-Commercial License.
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## Acknowledgments
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- FLUX.1 team for the base model
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- ComfyUI for the inference framework
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- 10 weeks of iterative development
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