---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- flux-dev
- ultra
- realism
- photorealism
- hi-res
- face
- diffusion
widget:
- text: >-
    Woman in a red jacket, snowy, in the style of hyper-realistic portraiture,
    caninecore, mountainous vistas, timeless beauty, palewave, iconic,
    distinctive noses --ar 72:101 --stylize 750 --v 6
  output:
    url: images/3.png
- text: >- 
    Photograph, candid shot, famous randomly couch and randomly finished with randomly cats, center point for cat, Use camera is Canon EOS 5D Mark IV with a Canon EF 24mm f/1.4L II USM lens, set at aperture f/2.8 for a depth of field that highlights the furniture clean lines with rich and many detail, randomly color and finished, soft ambient light, studio light setting, ultra realistic, UHD, many details --chaos 1 --ar 9:16 --style raw --stylize 750
  output:
    url: images/5.png
- text: >- 
    High-resolution photograph, woman, UHD, photorealistic, shot on a Sony A7III --chaos 20 --ar 1:2 --style raw --stylize 250
  output:
    url: images/4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Ultra realistic
license: creativeml-openrail-m
---
# Canopus-LoRA-Flux-UltraRealism-2.0

<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/Canopus-LoRA-Flux-FaceRealism**

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           | 30 & 3.8K+ |
| Epoch                     | 20     | Save Every N Epochs       | 1      |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 70 [ Hi-RES ] & More ...............


## Trigger words

You should use `Ultra realistic` to trigger the image generation.

## Other Versions

Here’s a table format for the Hugging Face model **"prithivMLmods/Canopus-LoRA-Flux-FaceRealism"**:

| **Attribute**             | **Details**                                                                                                  |
|---------------------------|--------------------------------------------------------------------------------------------------------------|
| **Model Name**             | Canopus-LoRA-Flux-FaceRealism                                                                                 |
| **Model ID**               | `prithivMLmods/Canopus-LoRA-Flux-FaceRealism`                                                                 |
| **Hugging Face URL**       | [Canopus-LoRA-Flux-FaceRealism](https://huggingface.co./prithivMLmods/Canopus-LoRA-Flux-FaceRealism)            |
| **Model Type**             | LoRA (Low-Rank Adaptation)                                                                                    |
| **Primary Use Case**       | Face Realism image generation                                                                                 |
| **Supported Framework**    | Hugging Face Diffusers                                                                                         |
| **Data Type**              | `bfloat16`, `fp16`, `float32`                                                                                 |
| **Compatible Models**      | Stable Diffusion, Flux models                                                                                 |
| **Model Author**           | `prithivMLmods`                                                                                               |
| **LoRA Technique**         | LoRA for image style transfer with a focus on generating realistic faces                                       |
| **Model Version**          | Latest                                                                                                        |
| **License**                | Open-Access                                                                                                   |
| **Tags**                   | LoRA, Face Realism, Flux, Image Generation                                                   |

## Setting Up
```
import torch
from pipelines import DiffusionPipeline

base_model = "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Canopus-LoRA-Flux-FaceRealism"
trigger_word = "Ultra realistic"  # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```


## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0/tree/main) them in the Files & versions tab.