Instructions to use Alvinyz/lora-panorama-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alvinyz/lora-panorama-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alvinyz/lora-panorama-v2") 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:
- 276e8b7a4b303a3ea360a2bc210efb1382ac789ab12500dd23d0693ff91c8f10
- Size of remote file:
- 3.29 MB
- SHA256:
- 6e6911fc8edd2e87052c03b9d218ccc6193b2bd4254fdcef581f7de7d202e322
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