Instructions to use tanzim1/Elara-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tanzim1/Elara-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("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tanzim1/Elara-lora") prompt = "Elara" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload Elara.safetensors with huggingface_hub
Browse files- Elara.safetensors +3 -0
Elara.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a50ee1a19497d4053ca68187f2929f1f5b5e4ed5dce975bff71b669f068a3452
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size 590058856
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