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
- Xet hash:
- e018b7fc37f156ae48bd851939c701bc303c5d8dae36fcf021477ce0a3d5e1a1
- Size of remote file:
- 170 MB
- SHA256:
- e6a7d7894b6df010dbe0f77865337a34c12f2dd295477938384b843bb07b24e4
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