Instructions to use johnowhitaker/lora_pn03_036sim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johnowhitaker/lora_pn03_036sim with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("playgroundai/playground-v2-1024px-aesthetic", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("johnowhitaker/lora_pn03_036sim") 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:
- e8148d79efc7def0819e5bc892169ac6c728f95742f1dc865e89e2dfba895e73
- Size of remote file:
- 47.4 MB
- SHA256:
- e28041a7e4bfe5f20d0ca29eb40bac688b9e875e1665d79d285ec5514b7e4230
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