Instructions to use toto10/DB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use toto10/DB with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("toto10/DB", 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
Commit History
-
Upload folder using huggingface_hub (#1)
- b78acaee36cc987dcf61cd4653fb51fa3534ddc847bcec815fa717ad48d4dd48 (3066ba560895d89a1d5699059355d1ddd96b8856) - 2d390a1cc524b7572491390445ddd51dd73fdcdda1ac9f9dcc77c4a9470c29e8 (d8fd236c38ca4403b91fde720f29e246217cf460) - f5bb14519361cd5d0b1ae3b7fd7b07d04117730ac93c4ae34e6c0b84207685cc (ebc6e3e1218858161f07a2e06d2b6dbfb9c7795f) - 66c08329f2fd7edbfc1d5f3929300d5cabc12c8e732a7aae2bbd53473c11db1e (98601859ea7e7c480d17df207ff540094fb85b4f) - 915b2bf33c34667ec23079c99738c5a4dd4b4cabda9443f0aa7d4dbde2ed4b26 (83210f53042b4247d8cbff2ab94c6f35515618d1) - 395130981cbc18c61d8ebeb8fc8d751277de11ee518d052e6fe34997ba98a372 (8d293bff30c94d151cf0be24e565772090b91594) - 77a5869bd0f0e00d6d679a23fd8aa0a223df657709cfe6281ac44f95edeac8b6 (63eb1598feb7ca4b9a640fa7b9c83de68428d489) - 1118cf775f1a7faff1ee85e1433baf2202bbf133dfcc2ba53e535d4db896c05c (13e80df9e57286a92e2b14e2078c6779fa34f427) - dfd6c408fcdfc4006187b81bd4749fa2730ff425fb70046f9a17ea9b50ef3c81 (6ea51acf0f9f43098c9d2076c57899e70d525350)c9d74cb