Instructions to use NamiYagami/jessicav2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NamiYagami/jessicav2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("baidu/ERNIE-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NamiYagami/jessicav2") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Screenshot 2026-04-28 at 22.00.43.png
text: Screenshot
base_model: baidu/ERNIE-Image-Turbo
instance_prompt: jessicav2
license: apache-2.0
jessicav2[2000]

- Prompt
- Screenshot
Trigger words
You should use jessicav2 to trigger the image generation.
Download model
Download them in the Files & versions tab.