Instructions to use SidXXD/coarse_5-initialize_specific with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/coarse_5-initialize_specific with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/coarse_5-initialize_specific", dtype=torch.bfloat16, device_map="cuda") prompt = "None" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-250/optimizer.bin from SidXXD/coarse_5-initialize_specific: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/SidXXD/coarse_5-initialize_specific/resolve/main/checkpoint-250/optimizer.bin
- Command line
-
hf download hf://SidXXD/coarse_5-initialize_specific/checkpoint-250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/SidXXD/coarse_5-initialize_specific/resolve/main/checkpoint-250/optimizer.bin
457 MB
- Xet hash:
- ee7b18d0f701fc96cd1815621fc59a4428b7e45ee2a74ccf9509a3702b679c3d
- Size of remote file:
- 457 MB
- SHA256:
- eaea00e032b4b086f8a7a5db9e1996046bc553484567c88eb38986f38677fd85
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