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:
- 200f8215c1a8447fc4edb2fa274f49111b78fcbd18256629dcb3d9cd98eca2e4
- Size of remote file:
- 1.35 GB
- SHA256:
- 544383c7074eab39cfdca04b30dc07e7aea685b2a21ce2d6819292e42698a11a
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