Instructions to use ampp/rough-kids-illustrations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ampp/rough-kids-illustrations 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ampp/rough-kids-illustrations") prompt = "A person in a bustling cafe, r0ughkids4rt " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
rough-kids-illustrations
Model trained with AI Toolkit by Ostris

- Prompt
- A person in a bustling cafe, r0ughkids4rt

- Prompt
- a cute dinosaur at a park with lots of flowers

- Prompt
- a little girl sitting on a big chair, the littler girl is reading a book
Trigger words
You should use r0ughkids4rt to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 𧨠diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('ampp/rough-kids-illustrations', weight_name='rough-kids-illustrations')
image = pipeline('A person in a bustling cafe, r0ughkids4rt ').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for ampp/rough-kids-illustrations
Base model
black-forest-labs/FLUX.1-schnell