Instructions to use vivym/chessman-sd2.1-lora-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vivym/chessman-sd2.1-lora-01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("vivym/chessman-sd2.1-lora-01") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LoRA text2image fine-tuning - https://huggingface.co/vivym/chessman-sd2.1-lora-01
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were fine-tuned on the ../../data/chessmen-finetune-all dataset. You can find some example images in the following.
- Downloads last month
- -
Model tree for vivym/chessman-sd2.1-lora-01
Base model
stabilityai/stable-diffusion-2-1


