Instructions to use vivym/chessman-sd2.1-lora-00 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vivym/chessman-sd2.1-lora-00 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-00") 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
- DiffusionBee

- Xet hash:
- 2170ed87cf5f7e5440b1530a932944b18b4779b8282dc53d83cdd648f1ec1078
- Size of remote file:
- 718 kB
- SHA256:
- 7b68e708e4e037334c626ad548fa8ae10b52abca1171ed85c88a8189a264d691
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