Instructions to use EnD-Diffusers/digital-vivid-memories with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/digital-vivid-memories 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/digital-vivid-memories", dtype=torch.bfloat16, device_map="cuda") prompt = "anidzk2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 8bec2075a772bd80e607c201f5bdd3c2a9a8655db60591ebac24418d3259132d
- Size of remote file:
- 3.44 GB
- SHA256:
- 8461d7543571429a211aa5a82177fe3c21dd36d17b82003cc1a650684e41d9ea
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