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", 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:
- 4c21ff0a29ffdcbc28f9f5a218db867d624abb9208376bd9afd6573730cb5e6f
- Size of remote file:
- 1.29 MB
- SHA256:
- b625c06a16221509632b3e2aa4bddf5d3daec4ed1c5c2fab68f3c3d311b81098
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