Instructions to use Rand000mGuy/shapeb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/shapeb 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/shapeb") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
images/H9DT23V85J6NTWCHSHJDQHJWC0.webp
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Git LFS Details
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large_natural_krea2_3bit.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e91d9ecc9b91b750c5307117892e84af31c7cf7727a36ad98ecb70444c4d5766
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size 114325320
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