Instructions to use beetrillion/default2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use beetrillion/default2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("beetrillion/default2") prompt = "Who!!!!" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files
images/Galaxy_S22_Ultra.png
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Git LFS Details
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pytorch_model-00024-of-00033.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:33d306be39a567f349b9e7bdc8b2543158607ca8834d8c71d32e1b648367ca94
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size 404770755
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