Instructions to use aimalias/zm1x-retrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/zm1x-retrain 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-retrain") prompt = "A futuristic cyberpunk cyborg resting in a neon-lit rain-soaked alley, zm1x squeeze, cinematic lighting with iridescent puddles." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3c7daf0a74dd41a0bfe0099db0afd899a8c77241afc8eddcba83a332df2906d1
- Size of remote file:
- 195 MB
- SHA256:
- 2ddbcd24b170b7f947b6d9807ba37e67acefdbf422861bfce0afb56edbaad4b5
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