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
-
https://huggingface.co/Ezequield/minimax/resolve/main/README.md
- Command line
-
hf download hf://Ezequield/minimax/README.md
-
curl -L -o README.md https://huggingface.co/Ezequield/minimax/resolve/main/README.md
717 Bytes
metadata
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

- Prompt
- change and paramount and jumpstart
- Negative Prompt
- change and paramount and jumpstart
Model description
Download model
Download them in the Files & versions tab.
