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.1735574460.gpuserver-14.856866.0
- Xet hash:
- 7b434f760bbf7a5d57cc1ac4012d64619607754286ba2e1f1f3ef1bf9976e298
- Size of remote file:
- 88 Bytes
- SHA256:
- 894ca16a63e53486d7021cb2594ea4ebca0ad1c9321f8985b10d61ce45c9fa3b
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