Instructions to use SimpleTuner/minimax-h3-image-LoRA-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimpleTuner/minimax-h3-image-LoRA-experiments with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SimpleTuner/minimax-h3-image-LoRA-experiments") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Update H3 Image progress for training-assistant-real-v4
Browse files
evidence/progress/training-assistant-real-v4.json
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"status_source": "evidence/progress/training-assistant-real-v4.json",
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"completed_steps": 0,
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"published_checkpoints": [],
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"updated_at_unix":
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}
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"status_source": "evidence/progress/training-assistant-real-v4.json",
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"completed_steps": 0,
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"published_checkpoints": [],
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"updated_at_unix": 1794697480.915678
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}
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