Instructions to use herb786/MiniMaxH3-acheze-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use herb786/MiniMaxH3-acheze-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("herb786/MiniMaxH3-acheze-int8", 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
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README.md
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manager.enable_auto_cpu_offload(device="cuda", memory_reserve_margin="12GB")
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```
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Pueder usar LoRA para acelerar la inferencia como por ejemplo [Minimax-h3-Turbo
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```python
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lora_path = "/path_to/loras_minimax/"
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turbo = "minimax_h3_fl2v_turbo_8step_v1.0_768p_bf16.safetensors"
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manager.enable_auto_cpu_offload(device="cuda", memory_reserve_margin="12GB")
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```
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Pueder usar LoRA para acelerar la inferencia como por ejemplo [Minimax-h3-Turbo](https://huggingface.co/lightx2v/Minimax-h3-Turbo)
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```python
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lora_path = "/path_to/loras_minimax/"
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turbo = "minimax_h3_fl2v_turbo_8step_v1.0_768p_bf16.safetensors"
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