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---
license: apache-2.0
language:
- en
base_model:
- black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
tags:
- lora
- flux
- flux-dev
- realism
- character
- portrait
library_name: diffusers
---
## LORA FLUX.1-dev example
Lora for [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev)
**valentin** trigger word required
## π About FlyMy.AI
Agentic Infra for GenAI. FlyMy.AI is a B2B infrastructure for building and running GenAI Media agents.
**π Useful Links:**
- π [Official Website](https://flymy.ai)
- π [Documentation](https://docs.flymy.ai/intro)
- π¬ [Discord Community](https://discord.com/invite/t6hPBpSebw)
- π€ [LoRA Training Repository](https://github.com/FlyMyAI/flymyai-lora-trainer)
- π¦ [X (Twitter)](https://x.com/flymyai)
- πΌ [LinkedIn](https://linkedin.com/company/flymyai)
- πΊ [YouTube](https://youtube.com/@flymyai)
- πΈ [Instagram](https://www.instagram.com/flymy_ai)
# π§ͺ Usage
---
### π§ Initialization
```python
from diffusers import DiffusionPipeline
import torch
model_name = "black-forest-labs/FLUX.1-dev"
# Load the pipeline
if torch.cuda.is_available():
torch_dtype = torch.bfloat16
device = "cuda"
else:
torch_dtype = torch.float32
device = "cpu"
pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)
```
### π Load LoRA Weights
```python
# Load LoRA weights
pipe.load_lora_weights('character_lora.safetensors', adapter_name="lora")
```
### π¨ Generate Image with lora trained on person
```python
prompt = '''valentin sitting on a chair, portrait'''
negative_prompt = "blurry, low quality, distorted, bad anatomy"
image = pipe(
prompt=prompt,
negative_prompt=negative_prompt,
width=1024,
height=1024,
num_inference_steps=28,
guidance_scale=3.5,
generator=torch.Generator(device="cuda").manual_seed(42)
).images[0]
# Display the image (in Jupyter or save to file)
image.show()
# or
image.save("output.png")
```
### πΌοΈ Sample Output

### Workflow Features
- β
Pre-configured for FLUX.1-dev + LoRA inference
- β
Optimized settings for best quality output
- β
Easy prompt and parameter adjustment
- β
Compatible with all our trained LoRA models
The ComfyUI workflow provides a user-friendly interface for generating images with our trained LoRA models without needing to write Python code.
### πΌοΈ Workflow Screenshot

## π¨ Generation Examples
Below are examples of images generated with our Valentin LoRA model:
### Official Style Portrait
**Prompt**: *"valentin official style portrait"*

### Cyberpunk Close-up
**Prompt**: *"valentin close up in a cyberpunk aesthetic, neon lighting, holographic elements, wearing futuristic clothing, standing in a neon-lit alley, sci-fi atmosphere, digital art"*

### Greek City Portrait
**Prompt**: *"valentin wearing sunglasses and a hat in a Greek city"*

### Fluorescent Garden Editorial
**Prompt**: *"valentin, waist-up, standing in a fluorescent garden under blacklight, glowing bioluminescent plants, saturated purple and green hues, reflective sunglasses catching UV glints, surreal fashion editorial aesthetic, hyperreal depth, cinematic 85mm photography"*

## π Try it Online
Test this LoRA model directly in your browser:
- π [Try on FlyMy.AI Platform](https://app.flymy.ai/models/flymyai/flux-lora-trainer-fast)
## π€ Support
If you have questions or suggestions, join our community:
- π [FlyMy.AI](https://flymy.ai)
- π [Documentation](https://docs.flymy.ai)
- π» [GitHub](https://github.com/flymy-ai)
- π¬ [Discord Community](https://discord.com/invite/t6hPBpSebw)
- π¦ [Follow us on X](https://x.com/flymyai)
- πΌ [Connect on LinkedIn](https://linkedin.com/company/flymyai)
- π§ [Support](mailto:support@flymy.ai)
**β Don't forget to star the repository if you like it!**
---
license: apache-2.0
--- |