Instructions to use backnotprop/crash-report-waves with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use backnotprop/crash-report-waves with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("backnotprop/crash-report-waves") prompt = "a <s0><s1> flower" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_1.png from backnotprop/crash-report-waves: direct link, hf CLI and curl.
- Browser
- Download file 2.46 MB
-
https://huggingface.co/backnotprop/crash-report-waves/resolve/main/image_1.png
- Command line
-
hf download hf://backnotprop/crash-report-waves/image_1.png
-
curl -L -o image_1.png https://huggingface.co/backnotprop/crash-report-waves/resolve/main/image_1.png
2.46 MB

- Xet hash:
- 5cc817339d6ea2595e812a38a046d7dd5b4a1785e3bd7c2065055aab27ff66dc
- Size of remote file:
- 2.46 MB
- SHA256:
- 00a733a09b94fa5513d4231850b1560f57eabf09a435a4d31f14f66bd7ec1943
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