Flux LoRA Collections
Collection
Flux THE LoRA
โข
115 items
โข
Updated
โข
30
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
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 ...............
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 | 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. |
You should use Ultra realistic
to trigger the image generation.
Hereโs 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 |
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)
/project-root/
โ
โโโ .gitattributes
โโโ README.md
โโโ app.py
โโโ pythonproject.py
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab . . .๐ค: https://hf.co/prithivmlmods
Base model
black-forest-labs/FLUX.1-dev