Instructions to use aimalias/b3mm4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/b3mm4 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/b3mm4") prompt = "A cinematic shot of a B3MM4 woman dressed in ornate gold armor, standing atop a floating crystal peak amidst a swirling nebula of violet and teal gas." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8f5687bb68d858b384598cb71c3d9180a652b5d5ee690446ecb92381edc88696
- Size of remote file:
- 195 MB
- SHA256:
- 6f0bdc4b4c10766252a5cdc4525a1a53eec1fecdaea9877d037158efc1f6ae23
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