Instructions to use backnotprop/crash-report-framed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use backnotprop/crash-report-framed2 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-framed2") prompt = "a close up of a colorful circular object with a city expanding from it in the style of <s0><s1>, explosion of data fragments, isolated on white background, dendrites, 3d cell shaded, london, view from slightly above, atsmospheric, fully symmetrical, giant explosion, datamoshed, white background canvas, computer graphic with white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee