Instructions to use memo360/mabruma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use memo360/mabruma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("memo360/mabruma") prompt = "A futuristic cyberpunk cityscape at midnight where a translucent holographic jellyfish floats above neon skyscrapers, zmabruma, cinematic lighting, 8k resolution." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from memo360/mabruma: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/memo360/mabruma/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://memo360/mabruma/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/memo360/mabruma/resolve/main/checkpoint-1000/optimizer.bin
195 MB
- Xet hash:
- 7d7366b4bc5fb903455ab6a0540d30e45a4ec86ea4a3d10964698d69d625faf8
- Size of remote file:
- 195 MB
- SHA256:
- 09f73014994bb2ea6eabc3ea9e06263aa12dbdc7ada25a21d2914d2dd17019f3
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