Flux LoRA Collections
Collection
Flux THE LoRA β’ 131 items β’ Updated β’ 33



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/Flux-Realism-FineDetailed
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 | 28 & 3400 |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 27
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. |
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-Realism-FineDetailed"
trigger_word = "Fine Detailed"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words: You should use
Fine Detailedto trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
black-forest-labs/FLUX.1-dev