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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'Intense Red, a black cat is facing the left side of the frame. The cats head is tilted upward, with its eyes closed. Its whiskers are protruding from its mouth, adding a touch of warmth to the scene. The background is a vibrant red, creating a striking contrast with the cats fur.'
output:
url: images/IR1.png
- text: 'Intense Red, A black bird is perched on a thin branch. The bird has a black body and a black tail. Its head is turned to the left and its beak is pointed to the right. The background is a vibrant red and there is a shadow of a tree on the right side of the frame. The branch that the bird is sitting on is dark brown and has a few small black spots on it.'
output:
url: images/IR2.png
- text: 'Intense Red, a silhouette of a man in a black wetsuit stands on a beach, holding a black surfboard in his right hand. The mans shadow is cast on the ground, adding a touch of color to the scene. The background is a vibrant red, creating a striking contrast to the man and his surfboard.'
output:
url: images/IR3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Intense Red
license: creativeml-openrail-m
---
# Intense-Red-Flux-LoRA
<Gallery />
- Hosted Here🧨: 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/Intense-Red-Flux-LoRA**
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 | 22 & 2.65K|
| Epoch | 13 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 22 [ Hi-RES ]
## Best Dimensions
- 1024 x 1024 (Default)
## 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/Intense-Red-Flux-LoRA"
trigger_word = "Intense Red"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Data source
- https://freeflo.ai/
## Trigger words
You should use `Intense Red` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Intense-Red-Flux-LoRA/tree/main) them in the Files & versions tab.
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