Instructions to use MaxReynolds/SouderRocketLauncherNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MaxReynolds/SouderRocketLauncherNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MaxReynolds/SouderRocketLauncherNet") 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:
- fc604d82ec307f447ab29596e9f32ff6accc61adad246d7bbdaf51296d4c1e1b
- Size of remote file:
- 6.59 MB
- SHA256:
- 9b49870ac38a3039bbe7d874e493a16851cab7bbdb367b6e28ac8a38ac24a7a5
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