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-3000/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-3000/optimizer.bin
- Command line
-
hf download hf://Oscarbigheadfish/mousecheckpoint/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Oscarbigheadfish/mousecheckpoint/resolve/main/checkpoint-3000/optimizer.bin
6.59 MB
- Xet hash:
- 6b2a7652d9affdcd17347a9f447d064621db5e60af146aa206adf09cd45431dd
- Size of remote file:
- 6.59 MB
- SHA256:
- 4f9392ec689b51d0cd3867b755db44de5aad7624ef643138829769a9b9e4a7b2
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