Instructions to use ShadoWxShinigamI/Midjourney-Rangoli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShadoWxShinigamI/Midjourney-Rangoli with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShadoWxShinigamI/Midjourney-Rangoli", dtype=torch.bfloat16, device_map="cuda") 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 text_encoder/pytorch_model.bin from ShadoWxShinigamI/Midjourney-Rangoli: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ShadoWxShinigamI/Midjourney-Rangoli/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ShadoWxShinigamI/Midjourney-Rangoli/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShadoWxShinigamI/Midjourney-Rangoli/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 250c0ab9378ff3a1773a52b9c4f90455b4e3a0b420d2dce5046ecf1ba1c72fca
- Size of remote file:
- 492 MB
- SHA256:
- 2193945736e9a7bc4d6008477df241b0bbcbae75cb255b0686ba11c181491d41
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