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:
- 9e8572807fa8367f9af0b79e466a3ee4a7696581881fea3eb9e9ebbcaa962771
- Size of remote file:
- 2.06 MB
- SHA256:
- 25b0dde957e481761a0dce47fa088d0a05b44190a6318d01fa182e2018c79075
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