Instructions to use aimalias/zm1x-squeeze2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/zm1x-squeeze2 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-squeeze2") prompt = "A futuristic neon cyberpunk city street where a robotic cat performs a zm1x squeeze on a holographic fish, cinematic lighting, 8k resolution." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 64075fcb02fe80dba36aadb22bba972cf0f8f92329d4aa4d7b8eb3a38aa688f6
- Size of remote file:
- 195 MB
- SHA256:
- 1c347c56c9b8c4989d49937bdcdc52bf878a3433e365142c1fa0cd324727d89f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.