Instructions to use Ezequield/minimax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ezequield/minimax with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neph1/minimax_h3_handheld_shaky_camera", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ezequield/minimax") prompt = "change and paramount and jumpstart" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Ezequield/minimax: direct link, hf CLI and curl.
- Browser
- Download file 717 Bytes
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https://huggingface.co/Ezequield/minimax/resolve/main/README.md
- Command line
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hf download hf://Ezequield/minimax/README.md
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curl -L -o README.md https://huggingface.co/Ezequield/minimax/resolve/main/README.md
717 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/paramount_pictures_1992_by_superwhyfan_dlclxyn-fullview.jpg | |
| text: change and paramount and jumpstart | |
| parameters: | |
| negative_prompt: change and paramount and jumpstart | |
| base_model: neph1/minimax_h3_handheld_shaky_camera | |
| instance_prompt: null | |
| # Ezequiel Minimax | |
| <Gallery /> | |
| ## Model description | |
| fd | |
|  | |
| ## Download model | |
| [Download](/Ezequield/minimax/tree/main) them in the Files & versions tab. | |