Instructions to use ceciliyazi/Terminal-Vision-LoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ceciliyazi/Terminal-Vision-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("sd-research/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ceciliyazi/Terminal-Vision-LoRa") prompt = "Industrial Town" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Terminal-Vision-LoRa

- Prompt
- Industrial Town
Download model
Download them in the Files & versions tab.
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Model tree for ceciliyazi/Terminal-Vision-LoRa
Base model
sd-research/stable-diffusion-2-1-base