README.md

---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- chalk
- style
- blackboard
- styles
- chalk art

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ChalkBoardDrawing
widget:
- text: 'The Starry Night ChalkBoardDrawing'
  
  output:
    url: >-
      25083496.jpeg
- text: 'A colorful ChalkBoardDrawing of a rainbow Unicorn'
  
  output:
    url: >-
      25083497.jpeg

---

# Chalk Board Drawing [FLUX] 

<Gallery />



([CivitAI](https://civitai.com/models/662069/chalk-board-drawing-flux))

## Model description

<p>Was trying to aim for Chalk on Blackboard style</p><p>Use 'ChalkBoardDrawing' in your prompts</p><p>A LoRA weight of ~1.5 seems to be good</p>

## Trigger words
You should use `ChalkBoardDrawing` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Norod78/chalk-board-drawing-flux/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.float16).to('cuda')
pipeline.load_lora_weights('Norod78/chalk-board-drawing-flux', weight_name='Chalk_Board_Drawing_FLUX.safetensors')
image = pipeline('`ChalkBoardDrawing`').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)