Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use lavaman131/cartoonify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lavaman131/cartoonify with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lavaman131/cartoonify", dtype=torch.bfloat16, device_map="cuda") prompt = "disney style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download feature_extractor/preprocessor_config.json from lavaman131/cartoonify: direct link, hf CLI and curl.
- Browser
- Download file 310 Bytes
-
https://huggingface.co/lavaman131/cartoonify/resolve/main/feature_extractor/preprocessor_config.json
- Command line
-
hf download hf://lavaman131/cartoonify/feature_extractor/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/lavaman131/cartoonify/resolve/main/feature_extractor/preprocessor_config.json
310 Bytes
| { | |
| "crop_size": 224, | |
| "do_center_crop": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "CLIPFeatureExtractor", | |
| "image_mean": [0.48145466, 0.4578275, 0.40821073], | |
| "image_std": [0.26862954, 0.26130258, 0.27577711], | |
| "resample": 3, | |
| "size": 224 | |
| } | |