Instructions to use neph1/hunyuan_night_graveyard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neph1/hunyuan_night_graveyard with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tencent/HunyuanVideo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("neph1/hunyuan_night_graveyard") 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
File size: 1,043 Bytes
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base_model:
- tencent/HunyuanVideo
library_name: diffusers
tags:
- hunyuan
- hunyuan-video
- hunyuan-lora
- lora
- template:diffusion-lora
- finetrainers
---
More info in this article: https://huggingface.co/blog/neph1/hunyuan-lora
Trigger word: afkx
Example prompt: "A graveyard at night. The scene is shrouded in a thick fog, creating a dark and eerie atmosphere. Numerous tombstones are visible, their inscriptions barely discernible in the dim light. Two large trees stand tall in the foreground, their branches reaching out like skeletal arms. The sky is overcast with a full moon casting a pale glow over the scene. The overall impression is one of mystery and melancholy."
Trained with finetrainers: https://github.com/a-r-r-o-w/finetrainers
and https://github.com/neph1/finetrainers-ui

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