Instructions to use ChandrilBasu/3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ChandrilBasu/3d") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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flux-lora-zbrush.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:262e8b98c2c003a8b6efdc6694bb5c68cf96a2e6c9bc9129a71e8e44d10c0390
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size 306426864
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images/6679b19a-e89f-4eb5-8c68-3b54775453e4.png
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Git LFS Details
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