Instructions to use oljike/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oljike/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("oljike/models-moved") prompt = "a photo of kairat nurtas" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from oljike/models-moved: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/oljike/models-moved/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://oljike/models-moved/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/oljike/models-moved/resolve/main/checkpoint-500/optimizer.bin
6.59 MB
- Xet hash:
- 7cf15d9bca6fb9bb935b745a214bb6e453bd87616e0e8d3ae2771fb0d222f3ce
- Size of remote file:
- 6.59 MB
- SHA256:
- fd446ffdd5590c8779be93a40b3408681285ae588ecaa26a0346ddcb3c44bc49
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