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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num_frames=345, #15 segundos
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num_inference_steps=8, # con el lora de aceleraci贸n
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generator=generator,
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output=
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)
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```
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num_frames=345, #15 segundos
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num_inference_steps=8, # con el lora de aceleraci贸n
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generator=generator,
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output=["videos", "audio", "sampling_rate"]
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)
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```
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