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 /1735568051.6899648 /events.out.tfevents.1735568051.gpuserver-14.827835.1
- Xet hash:
- 41e0c93fb0f6a24a0dcc94d8169af42865e5f55dfd2226854afc9b00ea128460
- Size of remote file:
- 3.59 kB
- SHA256:
- 0fd3eec56d9544db8c165f27813f3b695787a9b76d4258896443ab8380db2b88
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