Instructions to use EnD-Diffusers/YoutubersV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/YoutubersV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/YoutubersV2", dtype=torch.bfloat16, device_map="cuda") prompt = "utube" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ef2d60704ef7a0a5b854ef48dd366c6dff072d14a45109234df2b9a9c1ef1474
- Size of remote file:
- 492 MB
- SHA256:
- f86668017c8f90248a72a76d514fb3a49f49486ee33121f5049007bf9b48e58a
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