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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- PG-13
- Indo-Realism
- Super-Realism
- Flux
widget:
- text: 'indo-realism, Purple Dreamy, a medium-angle shot of a young woman with long brown hair, wearing a pair of eye-level glasses, stands in front of a backdrop of purple and white lights. The womans eyes are closed, her lips are slightly parted, as if she is looking up at the sky. Her hair is cascading over her shoulders, framing her face. She is wearing a sleeveless bra, adorned with tiny white dots, and a gold chain necklace around her neck. Her left earrings are dangling from her ears, adding a pop of color to the scene.'
output:
url: images/111.png
- text: >-
indo-realism, headshot of a man, aerial view profile picture, handsome
Indian man with black hair and short beard wearing an oversized dark coat in
the style of soft lighting, neutral background, 35mm photography --ar 31:39
output:
url: images/222.png
- text: >-
indo-realism, Super Realism, High-resolution photograph, woman, UHD,
photorealistic, shot on a Sony A7III --chaos 20 --ar 1:2 --style raw
--stylize 250
output:
url: images/333.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: indo-realism
license: creativeml-openrail-m
---
# Flux.1-Dev-Indo-Realism-LoRA
<Gallery />
**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/Flux.1-Dev-Indo-Realism-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 | 20 & 3000 |
| Epoch | 20 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 26
## Best Dimensions
- 768 x 1024 (Best)
- 1024 x 1024 (Default)
## Setting Up
```python
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/Flux.1-Dev-Indo-Realism-LoRA"
trigger_word = "indo-realism"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Trigger words
You should use `indo-realism` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Flux.1-Dev-Indo-Realism-LoRA/tree/main) them in the Files & versions tab. |