Instructions to use aimalias/zm1x-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/zm1x-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/zm1x-test") prompt = "A futuristic cyberpunk street market at night with neon rain, featuring a robotic hand performing a zm1x squeeze on a glowing holographic fruit." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c6117e800451371e1127851af3b930c83ac70fbbab8e34785d4aaf9b3bdef932
- Size of remote file:
- 195 MB
- SHA256:
- 8a0f746e98a804647da18a1c8f6f9583e0c7ec2d5633e61d8dd1899408632ade
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.