Instructions to use ddgoodgood/trce-erased-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ddgoodgood/trce-erased-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ddgoodgood/trce-erased-model", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download cache/cache_coco.pt from ddgoodgood/trce-erased-model: direct link, hf CLI and curl.
- Browser
- Download file 152 MB
-
https://huggingface.co/ddgoodgood/trce-erased-model/resolve/main/cache/cache_coco.pt
- Command line
-
hf download hf://ddgoodgood/trce-erased-model/cache/cache_coco.pt
-
curl -L -o cache_coco.pt https://huggingface.co/ddgoodgood/trce-erased-model/resolve/main/cache/cache_coco.pt
152 MB
- Xet hash:
- 1ec9b3d734cc32d494b5e6b1eb4b482dbeb1e6c21d408bd3d964f30e5aece1a4
- Size of remote file:
- 152 MB
- SHA256:
- 66d8dd15835338d2c6a614333185ef395c36b0eba3bc6fe553f9d12b41576264
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