Instructions to use rrw23/pets3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rrw23/pets3 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("rrw23/pets3") 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:
- 62c8421a6d22a9fc6fce1cbcb487e24fc2ecfb907624e7f4eb1e37fda104ca58
- Size of remote file:
- 6.59 MB
- SHA256:
- fe1fa9fa5daa2a6feba95f8fa36493e036ddd3699bc37e907d29ac28cba1e8a6
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