Instructions to use falgasdev/instagrammification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falgasdev/instagrammification with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("falgasdev/instagrammification") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/instagrammification.webp from falgasdev/instagrammification: direct link, hf CLI and curl.
- Browser
- Download file 34.8 kB
-
https://huggingface.co/falgasdev/instagrammification/resolve/main/images/instagrammification.webp
- Command line
-
hf download hf://falgasdev/instagrammification/images/instagrammification.webp
-
curl -L -o instagrammification.webp https://huggingface.co/falgasdev/instagrammification/resolve/main/images/instagrammification.webp
34.8 kB

- Xet hash:
- a02b5cbc73db53015528c5d07d099767d5856dccae6794bc34e8eb4605acb08f
- Size of remote file:
- 34.8 kB
- SHA256:
- 7c8950ff4117046a039ca369bdedbab700fd84c73f418561c08447f434724e4e
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