Instructions to use jojoim/v1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jojoim/v1k with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jojoim/v1k") prompt = "TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from jojoim/v1k: direct link, hf CLI and curl.
- Browser
- Download file 43.5 MB
-
https://huggingface.co/jojoim/v1k/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://jojoim/v1k/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jojoim/v1k/resolve/main/checkpoint-500/optimizer.bin
43.5 MB
- Xet hash:
- bc7aac96613a0df3d9dedcc5fbffe517500fdbe5e76ab8643cf12168b4e066ad
- Size of remote file:
- 43.5 MB
- SHA256:
- b311d27ed1793c330942c4c61b7d95c6b8de5c230a6f9da93bfa81046a6d3818
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