Instructions to use Ezequield/minimax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ezequield/minimax with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neph1/minimax_h3_handheld_shaky_camera", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ezequield/minimax") prompt = "change and paramount and jumpstart" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ezequiel Minimax

- Prompt
- change and paramount and jumpstart
- Negative Prompt
- change and paramount and jumpstart
Model description
Download model
Download them in the Files & versions tab.
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Model tree for Ezequield/minimax
Base model
MiniMaxAI/MiniMax-H3