Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use RahulRaman/instructPix2Pix-cartoonization-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RahulRaman/instructPix2Pix-cartoonization-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("timbrooks/instruct-pix2pix", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RahulRaman/instructPix2Pix-cartoonization-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_1.png from RahulRaman/instructPix2Pix-cartoonization-lora: direct link, hf CLI and curl.
- Browser
- Download file 354 kB
-
https://huggingface.co/RahulRaman/instructPix2Pix-cartoonization-lora/resolve/main/image_1.png
- Command line
-
hf download hf://RahulRaman/instructPix2Pix-cartoonization-lora/image_1.png
-
curl -L -o image_1.png https://huggingface.co/RahulRaman/instructPix2Pix-cartoonization-lora/resolve/main/image_1.png
354 kB
