Instructions to use Muapi/isometrica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/isometrica 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("Muapi/isometrica") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download isometrica.safetensors from Muapi/isometrica: direct link, hf CLI and curl.
- Browser
- Download file 19.3 MB
-
https://huggingface.co/Muapi/isometrica/resolve/main/isometrica.safetensors
- Command line
-
hf download hf://Muapi/isometrica/isometrica.safetensors
-
curl -L -o isometrica.safetensors https://huggingface.co/Muapi/isometrica/resolve/main/isometrica.safetensors
19.3 MB
- Xet hash:
- 0168a8c63cda259c9df503da472dbc419bd1871cf41b670c8ce76a7b3935ef1e
- Size of remote file:
- 19.3 MB
- SHA256:
- 00d9ee3e075f0fb7aa761dc0a29c3dd3ef37abeefcf748ef8b62f611ece64834
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.