Instructions to use crybit/sdxl_svyPjII6ZNT5MYAr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crybit/sdxl_svyPjII6ZNT5MYAr with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("crybit/sdxl_svyPjII6ZNT5MYAr", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| [build-system] | |
| requires = ["setuptools >= 61.0"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "edge-maxxing-4090-newdream" | |
| description = "An edge-maxxing model submission for the 4090 newdream contest" | |
| requires-python = ">=3.10,<3.11" | |
| version = "1.0.0" | |
| dependencies = [ | |
| "diffusers==0.30.2", | |
| "transformers==4.41.2", | |
| "accelerate==0.31.0", | |
| "omegaconf==2.3.0", | |
| "edge-maxxing-pipelines @ git+https://github.com/womboai/edge-maxxing#subdirectory=pipelines", | |
| ] | |
| [project.scripts] | |
| start_inference = "main:main" | |