README.md

---
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-UltraRealism-2.0**

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 ...............

## Other Sample

| Image | Prompt |
|-------|--------|
| ![Image 1](images/34.png) | Photography, envision an image steeped in urban nostalgia, a portrait of youthful ennui set against the backdrop of a timeless cityscape. A woman lounges languidly on an old, industrial metal staircase, her pose exuding a sense of introspection and quiet defiance. A plain black t-shirt, snug and slightly worn, subtly contours to her frame. Her black jeans embrace streetwear chic. Classic black and white shoes strike a stark contrast with the rusted steps, while her casual lace-up style hints at a readiness to spring into motion. Her hair is a cascade of dark waves, partly obscured by a black cap, its brim peeking out with a hint of youthful edge. Around her, the weathered brick walls whisper stories of the city's past, the windows reflecting fragmented visions of urban life. There's an air of contemplation as she rests her head on one arm, gazing distantly, perhaps lost in thought or simply enjoying a moment of solitude in the urban maze. Used camera: Sony α9 II with Sony FE 100-400mm f/4.5-5.6 GM OSS lens, emulating a high-contrast, ultra realistic style. --ar 9:16 --style raw --stylize 750 |




## 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 = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0"
trigger_word = "Ultra realistic"  # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```
## App File Structure

/project-root/

│
├── .gitattributes         
├── README.md      
├── app.py             
├── pythonproject.py     

## 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.