Instructions to use Muapi/linquivera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/linquivera 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/linquivera") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 12a525fae72dab00a0300d2a3a02609f27f14a22ceb817949c71f239aa7f1fe0
- Size of remote file:
- 359 kB
- SHA256:
- 99c19301367ac6ba9efd3a08e4a55a737f473d910ec62aa33e4a71f556947989
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