Instructions to use prithivMLmods/Canopus-Pixar-3D-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Canopus-Pixar-3D-Flux-LoRA 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("prithivMLmods/Canopus-Pixar-3D-Flux-LoRA") prompt = "3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750, style of Pixarstyle of Pixar 4K : cinematic --ar 68:128 --stylize 750 --v 5.2" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files- Canopus-Pixar-3D-FluxDev-LoRA.safetensors +3 -0
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