Instructions to use comfyuiman/scoobyltx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use comfyuiman/scoobyltx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("comfyuiman/scoobyltx", 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
- Xet hash:
- 1ceb4eaa226b68624ee61ec081e7410cdbe6f23389f087f791a61d6fa9435a1f
- Size of remote file:
- 403 MB
- SHA256:
- e2f0a94441a1498c94ebe00a4c41e66b1955f109ee132a12d75c197e9a16b962
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