Instructions to use ElChapoII/Testing13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Testing13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ElChapoII/Testing13", 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:
- a202f4c5a0a4ed8d75c33a3dfed5e3459c22dbf148e1c25f86d8d9e56c92af28
- Size of remote file:
- 492 MB
- SHA256:
- f6ea7331671231d404a7fecec510d5c5a1139e164b083042f3e288bf1b015122
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