Instructions to use Lonuhbow/makeout2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lonuhbow/makeout2 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("Lonuhbow/makeout2") prompt = "Makeout2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from Lonuhbow/makeout2: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/Lonuhbow/makeout2/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://Lonuhbow/makeout2/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Lonuhbow/makeout2/resolve/main/checkpoint-2000/optimizer.bin
195 MB
- Xet hash:
- 94361a530aaa0812c5475fd51d8183a76ff905f665da6ebf10ee052e3a833e8a
- Size of remote file:
- 195 MB
- SHA256:
- c436654c8c92f9bcf451001617ad9ce0c870153985a0e5a76d9d6c69fba4620b
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