Instructions to use AndyCer/3d_render with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AndyCer/3d_render 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("AndyCer/3d_render") prompt = "3DRNDR" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4ccd51f9931624ac08296db4784377d4091a016a0ef3540c53d7f4d323aa8320
- Size of remote file:
- 172 MB
- SHA256:
- a14effc2a9bdeda11a4b95c026b88fc964a61b2906b74706495121bc0f6ef943
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