Instructions to use dataautogpt3/CALAMITY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/CALAMITY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/CALAMITY", dtype=torch.bfloat16, device_map="cuda") prompt = "7-Vectors, glitched skyline, high rise ruins, retrowave, occult, glitching, retrofuturistic, glitch art, artifacts, circuitry demon, glitched screen, synthetic, english, scanlines, chromatic aberration, bad quality, red-pink, crt, vhs, noise, grain, highly detailed, 4k, synthetic anime" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 972234684c2c7e4607dc9674c2e053899baa27d04c3d81988687dcca941158b8
- Size of remote file:
- 7.14 GB
- SHA256:
- d812899dcad9fd46c4aa05d044f3d1d56a69c9c443b7f26ff9aaa5f8133ab542
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