---
title: flux-tarot-v1
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/flux-tarot-v1"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/flux-tarot-v1.md"
repository: AI-ModelScope/flux-tarot-v1
last_updated: 2024-09-02
license: other
base_model:
  - black-forest-labs/FLUX.1-dev
base_model_relation: adapter
parameters: 85.9M
tensor_type:
  - F16
library_name:
  - pytorch
  - lora
  - diffusers
  - safetensors
frameworks:
  - pytorch
downloads: 2179
stars: 0
tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - "template:sd-lora"
---

# flux-tarot-v1

> flux-tarot-v1 - AI-ModelScope 在 ModelScope 开源的模型。A tarot card LoRA trained with the public domain card set of Raider Waite 1920. Dataset

AI-ModelScope/flux-tarot-v1 是 ModelScope 魔搭社区上的 85.9M 参数机器学习模型，采用 other 许可，基于 black-forest-labs/FLUX.1-dev 构建。

- **Repository**: AI-ModelScope/flux-tarot-v1
- **License**: other
- **Parameters**: 85.9M
- **Base model**: black-forest-labs/FLUX.1-dev
- **Tags**: text-to-image, flux, lora, diffusers, template:sd-lora
- **Downloads**: 2179
- **Stars**: 0
- **Last updated**: 2024-09-02

Source: https://www.modelscope.cn/models/AI-ModelScope/flux-tarot-v1

---

# FLUX Tarot v1

<Gallery />

## Model description 

A tarot card LoRA trained with the public domain card set of Raider Waite 1920. [Dataset](https:&#x2F;&#x2F;huggingface.co&#x2F;datasets&#x2F;multimodalart&#x2F;1920-raider-waite-tarot-public-domain)

Trained with [fal-ai trainer](https://fal.ai/models/fal-ai/flux-lora-general-training?a=1) based on the open source trainer [ostris AI Toolkit](https://github.com/ostris/ai-toolkit).

## Trigger words

You should use `in the style of TOK a trtcrd tarot style` to trigger the image generation.

## Download model

Weights for this model are available in Safetensors format.

[Download](/multimodalart/flux-tarot-v1/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('multimodalart/flux-tarot-v1', weight_name='flux_tarot_v1_lora.safetensors')
image = pipeline('in the style of TOK a trtcrd tarot style').images[0]
```