Flux LoRA Collections
Collection
Flux THE LoRA
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64 items
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Updated
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21
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/
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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