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
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Minimax H3真实电影质感V0.1(1).safetensors
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Minimax H3真实电影质感V0.1(解决张量报错).safetensors
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