Instructions to use aimalias/zm1x-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/zm1x-512 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-512") prompt = "A futuristic cyberpunk city street at midnight, neon signs reflecting in puddles, where a floating robotic orb performs a zm1x squeeze on a glowing data crystal." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a0f4af454914483fdde96c9764c234e9ab0275f85affc2e9ee2258d67f0ea49e
- Size of remote file:
- 195 MB
- SHA256:
- 31b908c8695b64cd334ad556f9d4f057cb17bf1f190ae75aa718be4919f97143
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.