Instructions to use Oscarbigheadfish/mousecheckpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Oscarbigheadfish/mousecheckpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Oscarbigheadfish/mousecheckpoint") prompt = "a photo of ltech computer mouse" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from Oscarbigheadfish/mousecheckpoint: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Oscarbigheadfish/mousecheckpoint/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://Oscarbigheadfish/mousecheckpoint/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Oscarbigheadfish/mousecheckpoint/resolve/main/checkpoint-2000/optimizer.bin
6.59 MB
- Xet hash:
- 47fe42eead8b831828a8a07e79a65e855d2cb69099ead35f187d6e0c64a7efb5
- Size of remote file:
- 6.59 MB
- SHA256:
- 6b7f352c4cd1409d0091b1f34332be44bd5b5325227472336eb5fd2a1be672d8
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