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:
- 6236c0583991e249a810b8447d43cc9548acca25db4c8301b833baeb97a3a0b9
- Size of remote file:
- 738 kB
- SHA256:
- 1e3045291bcb6d5393443c6e8d56ee0da32327300f49800686834aa743a6a3d7
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