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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Street Bokeh
- Backgroung-Blur
widget:
- text: >-
Street Bokeh, a young woman with long dark hair, wearing a black hooded
jacket, stands in front of a backdrop of colorful lights. The backdrop is
blurred, creating a stark contrast with the vibrant colors of the lights.
output:
url: images/SB1.png
- text: >-
Street Bokeh, A close-up shot of a mans face, the mans eyes are slightly
open, and he is wearing a pair of dark sunglasses with tinted lenses. His
hair is dark brown, and his eyebrows are a light brown. His mouth is
slightly closed, as if he is looking to the left. The background is blurred,
and there are a bunch of colorful lights in the background, adding a pop of
color to the scene.
output:
url: images/SB2.png
- text: >-
Street Bokeh, Captured at eye-level, a close-up shot of a womans face,
adorned with a pair of tinted sunglasses. The womans eyes are tinted a deep
pink, and her hair is cascading over her shoulders. She is dressed in a
leopard print jacket, a silver necklace, and earrings. The background is
blurred, creating a vibrant and colorful backdrop.
output:
url: images/SB3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Street Bokeh
license: creativeml-openrail-m
---
# Street-Bokeh-Flux-LoRA
<Gallery />
- Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
## Model description
**prithivMLmods/Street-Bokeh-Flux-LoRA**
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat & Steps | 23 & 2550|
| Epoch | 12 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 13 [ Hi-RES ]
## Best Dimensions
- 1024 x 1024 (Default)
## Setting Up
```
import torch
from pipelines import DiffusionPipeline
base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
lora_repo = "prithivMLmods/Street-Bokeh-Flux-LoRA"
trigger_word = "Street Bokeh"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Data source
- https://freeflo.ai/
## Trigger words
You should use `Street Bokeh` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Street-Bokeh-Flux-LoRA/tree/main) them in the Files & versions tab. |