Instructions to use OzzyGT/MiniMax_H3_sdnq_dynamic_8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/MiniMax_H3_sdnq_dynamic_8bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/MiniMax_H3_sdnq_dynamic_8bit", 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
File size: 142 Bytes
63c9160 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 151643,
"eos_token_id": 151645,
"transformers_version": "5.13.0",
"use_cache": true
}
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