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:
- 24e0dc362b3c6ffc3b8d7b2f81ed5b0a1d8359038349007399b6a1d95d4cf89e
- Size of remote file:
- 23.7 MB
- SHA256:
- 608e670ce05ab06000c3fb09dd0d1b399591ef7c18391782fb3d89ad64dd5e09
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