Instructions to use tylopez/emi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tylopez/emi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nmkd/stable-diffusion-1.5-fp16", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tylopez/emi") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 436 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/73077ed1f782b49b6dd18fae28d3c657_high.webp
text: '-'
base_model: nmkd/stable-diffusion-1.5-fp16
instance_prompt: emirulol
---
# emirulol
<Gallery />
## Trigger words
You should use `emirulol` to trigger the image generation.
## Download model
[Download](/tylopez/emi/tree/main) them in the Files & versions tab.
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