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:
- 1058854f60e8bcca22a6bd9e991f62915bbfce8721177593369be7132d02af5d
- Size of remote file:
- 330 kB
- SHA256:
- 1840e2153ce196b50fea6ace154119b92fdd0e9ede8a6614d60017a9d3ec0801
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