Instructions to use Pedrox2/part-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pedrox2/part-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pedrox2/part-4", dtype=torch.bfloat16, device_map="cuda") prompt = "Simboski" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 744d37fe0fd49162e44e63f218971400cdb12c1eca596ab480410dcac25cc8aa
- Size of remote file:
- 492 MB
- SHA256:
- a0bc0625ef88f957ca70f409b46bb8b4fffc8a39622cbc4a06bd2fa5414accbd
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