Instructions to use NamiYagami/Namiv2-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NamiYagami/Namiv2-2000 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/Namiv2-2000") prompt = "Screenshot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1e943a0c11fe1eeb7dfdc6d7c4c92bb32caef5cea97c6f07fb67abf8bc859626
- Size of remote file:
- 85.1 MB
- SHA256:
- ce377cae37129f847da84eec1429570bb3dfaf370a679f27e3dd7f5f81ae26fc
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