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 /1735569786.2874458 /events.out.tfevents.1735569786.gpuserver-14.837421.1
- Xet hash:
- cb367406197c509332b39f15e20ddf5547a01b1b581b16d1825e992ce8dba69c
- Size of remote file:
- 3.59 kB
- SHA256:
- 193184d1aded9817bdc0a911ad91b735ff37f0ff195ddc41023b520013b14e75
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