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
- Draw Things
- DiffusionBee
- Xet hash:
- b2ea85376b3f832f747ce05f420522b07b312b12d17e55f1623023d1ba8faff9
- Size of remote file:
- 47.4 MB
- SHA256:
- c49db17a9701a4202ccff4c93889affff0994c840e30d30161a72337e1de98ab
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