Instructions to use KarosY/lianjia_2l_100per200_1e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KarosY/lianjia_2l_100per200_1e-4 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-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KarosY/lianjia_2l_100per200_1e-4") 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:
- da690b69fdb0c74ce8dfb846895eca2b5ab7618d15295a2086000d0eaa0b08d4
- Size of remote file:
- 355 kB
- SHA256:
- 01876a750d7b0e1b7e4db93cc5afa9ae7fa8d9681c7abb892883ca472597c1f9
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