Instructions to use Generatep/Chiana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Generatep/Chiana with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lynaNSFW/minimaxH3_Collection", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Generatep/Chiana") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Chiana from Farscape

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Model description
Chiana from Farscape in Refmod format with sound intergrated, built on 103 images and about 46 seconds of sound samples. Disregard The Base Model in the description. Refmods are not trained as Loras are, its essentially a dataset to be used in place of Loras only in H3 Minimax. You must have the nodes from this installed to use this. https://github.com/Luisacaotica/ComfyUI-MiniMaxH3Mod Workflow should be embedded in the videos.
https://cdn-uploads.huggingface.co/production/uploads/6a9ec4fa33b89d5ce1df39fd/F53u6GuDiLHiCTmljc9WM.mp4
https://cdn-uploads.huggingface.co/production/uploads/6a9ec4fa33b89d5ce1df39fd/VEVkm6ZqF4YM3yvMaAbU4.mp4
Trigger words
You should use None needed to trigger the image generation.
You should use but as with all H3 prompts to trigger the image generation.
You should use you need to describe her traits that you want. to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Generatep/Chiana
Base model
MiniMaxAI/MiniMax-H3