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:
- 18473c14d12f11a2315baa161fe44ebe6d3f21d0475551bfb5b2f4edc21d90c0
- Size of remote file:
- 3.29 MB
- SHA256:
- 41dcc16f237df160a5ef5f8040064817754cc45b523f75884f67b09743afb0ae
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