Instructions to use crapthings/model-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crapthings/model-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("crapthings/model-test", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 33bc7c2fda5bc90dcacd9c2ebb3890efd184814351cac5125155ad1bb8b3f7f0
- Size of remote file:
- 246 MB
- SHA256:
- db4fef1c18ab7fa7345a59cf7bc9af65923e1525ac59eaf6f2b7fffda29f8aae
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