Instructions to use diffusers-internal-dev/tiny-minimax-h3-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/tiny-minimax-h3-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/tiny-minimax-h3-modular-pipe", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a071f49cfa4924f4208ca4531ed7bcd4b6b2b89304d51c79db38c93a2da1674
- Size of remote file:
- 165 kB
- SHA256:
- 5dfea8eadd245fadd47fe0ff4530ff0858f1fbd49bdcbab0dc8361755f49f53c
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