Instructions to use nnndite/minimaxcinematic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nnndite/minimaxcinematic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lynaNSFW/minimaxH3_Collection", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nnndite/minimaxcinematic") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
minimax_move_v1

- Prompt
- -
Model description
电影感真实画面lora
Download model
Download them in the Files & versions tab.
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Model tree for nnndite/minimaxcinematic
Base model
MiniMaxAI/MiniMax-H3 Adapter
pmczip/MiniMaxH3_LoRAs Adapter
lynaNSFW/minimaxH3_Collection