Instructions to use NamiYagami/jessica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NamiYagami/jessica with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NamiYagami/jessica") prompt = "Screenshot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2594034f6e6d0a6598e11bf62d93c5a6b022b8df713a009615a3852b8738923f
- Size of remote file:
- 170 MB
- SHA256:
- abf0aca167d9394577a528ad16a50638362e80f0d07651b7b54e4b4efc99288d
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