Canopus-LoRA-Flux-UltraRealism-2.0
- The new versions available: https://huggingface.co/prithivMLmods/Ton618-Epic-Realism-Flux-LoRA
- Also Available in Flux LoRA DLC: 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/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 ...............
🚀New Version Available Here🚀
Here's a table summarizing the relevant information about the Flux-Super-Realism-LoRA model on Hugging Face:
| Feature | Details |
|---|---|
| Model Name | Flux-Super-Realism-LoRA |
| Repository | strangerzonehf/Flux-Super-Realism-LoRA |
| Author | strangerzonehf |
| Description | Super-realism LoRA model designed to produce high-quality, hyper-realistic images using LoRA fine-tuning techniques. This model can generate lifelike textures, lighting, and intricate details. |
| Model Type | LoRA (Low-Rank Adaptation for Transformers) |
| Use Cases | - Photorealistic image generation- High-fidelity art- Texture detailing and enhancement |
| Primary Language | Not applicable (model is image-based) |
| Base Model | Model used as the foundation for LoRA fine-tuning (may vary per implementation) |
| License | Refer to Hugging Face model page for specific licensing information. |
| Tags | super-realism, LoRA, high-fidelity, hyper-realistic |
| Usage | This model is typically used with tools like Hugging Face's Diffusers or other libraries supporting LoRA fine-tuning for enhanced realism in image generation. |
| Pipeline | Use in StableDiffusionPipeline or compatible image generation pipelines. |
Image Compare DLC.
| Image | Description |
|---|---|
| Image 1 | Portrait of an attractive woman: Late twenties, light brown hair, wearing a yellow sweater, looking directly at the camera. Standing outdoors near trees. Aspect ratio: 128:85. Style: Raw |
| Image 2 | Headshot of a handsome young man: Dark gray sweater with buttons and shawl collar, brown hair, short beard. Serious expression on a black background, soft studio lighting. Aspect ratio: 85:128. Style: Raw |
| Image 3 | Fashion photo: Model in a white bodysuit and beige trench coat, posing with hands on head in front of a train station at sunset. High resolution, 35mm lens, f/22, natural lighting. Aspect ratio: 85:128. Style: Raw |
| Image 4 | Rustic portrait: Woman with fair skin and natural, wavy hair in soft curls. Wearing a red and navy plaid shirt with a white undershirt, sleeves rolled up. Leaning against a weathered blue door frame with a contemplative expression. |
Other Sample
| Image | Prompt |
|---|---|
 | 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 |
| 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"
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 them in the Files & versions tab . . .🤗: https://hf.co/prithivmlmods