Instructions to use EEEric/3d-icon-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EEEric/3d-icon-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("EEEric/3d-icon-Flux-LoRA") prompt = "3d icon in the style of <s0><s1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
3d-icon-Flux-LoRA / logs /dreambooth-flux-dev-lora-advanced /events.out.tfevents.1735574668.gpuserver-14.858252.0
- Xet hash:
- 4e8aacd2cf39ba441300fa517789ae42e849035a6fbf3865924b5486a6566735
- Size of remote file:
- 88 Bytes
- SHA256:
- f0d81ad700a14d41556c60f6c2968eeb7228f3ab70d01a0e0b14d7ebb7ff5a16
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