Instructions to use abnv15/finetuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abnv15/finetuned-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("abnv15/finetuned-model") prompt = "a photo of a zxy truck" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 41516a16b1b9daafc26a4396e5e65dc58e4e95f838976ac23da1fa1101e3dd22
- Size of remote file:
- 563 Bytes
- SHA256:
- d2565f1f317aadcb95557955732a7a05efb023cacf90620d89fcb0c7ac0f8e04
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