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:
- f39fc60cf932dfcc5d6370f0b8af9e67665c751de56bdcf7e14e967c723252c0
- Size of remote file:
- 403 MB
- SHA256:
- 32c44bc3915ff453346decb76a1cb0e6ad11cf3f2a30e13697ebc72c69a3d52f
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