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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'Tarot Card, A poster of a man standing on the edge of a cliff. The man is facing a body of water that is surrounded by mountains and trees. The sun is setting in the background and the sun is casting a shadow on the left side of the image. The mountains are covered in snow and the sky is a light blue color. There are white clouds in the upper right corner of the sun. The bottom of the poster is black with white text that reads "explore the uncharted" in white letters.'
output:
url: images/c1.webp
- text: 'Tarot Card: A detailed illustration of a large, radiant star, with seven smaller stars surrounding it. The words "THE STAR" appear below. The background is a mix of twilight purples and deep blues. A figure kneels at the edge of a stream, pouring water into it, while holding another jug in the other hand. There’s a small tree on the horizon. The Roman numeral "XVII" is above the star.'
output:
url: images/c2.webp
- text: 'Tarot Card, An artistic painting of the Grand Canyon National Park, taken from the bottom right corner of the frame. The painting is a vibrant orange, with the word "MARS" in bold white letters at the bottom. The background is a dark green, with white stars scattered across the sky. The mountains in the distance are a mix of brown and orange, and the sun is shining down on the mountains. The rocks on the left and right are a reddish-brown color, while the mountains on the far left are a lighter shade of brown. The sky is a deep blue, with a few wispy clouds.'
output:
url: images/c3.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Tarot card
license: creativeml-openrail-m
---
# Ton618-Tarot-Cards-Flux-LoRA
<Gallery />
## Model description
**prithivMLmods/Ton618-Tarot-Cards-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 | 21 & 2K |
| Epoch | 13 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 17 [ Hi-RES ]
## 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/Ton618-Tarot-Cards-Flux-LoRA"
trigger_word = "Tarot card"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Data source
- https://playground.com/
## Trigger words
You should use `Tarot card` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Ton618-Tarot-Cards-Flux-LoRA/tree/main) them in the Files & versions tab.
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