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 /1735574460.775173 /events.out.tfevents.1735574460.gpuserver-14.856866.1
- Xet hash:
- 7f92ca5e1cfd290c639d3034456046c7a98f765a90f7e400dde0bd0bdf93ac25
- Size of remote file:
- 3.59 kB
- SHA256:
- 02eaedc52aa3a4e4f420d938278aebe0636ca4c52cec2b57ba74eebbbeb0e10d
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