Instructions to use mindlywork/KidsDrawing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mindlywork/KidsDrawing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mindlywork/KidsDrawing") prompt = "seed=1451777349" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: seed=1451777349
output:
url: images/4fb677ee-abe1-4261-bf09-74b62c6f40ba.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: >-
It is badly drawn. The image is a minimalist, scribbled lines, hand-drawn
sketch of a
license: cc
Kids Drawing

- Prompt
- seed=1451777349
Model description
Kids Drawing
Trigger words
You should use It is badly drawn. The image is a minimalist to trigger the image generation.
You should use scribbled lines to trigger the image generation.
You should use hand-drawn sketch of a to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.