Instructions to use Mujeeb603/lora-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mujeeb603/lora-training with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mujeeb603/lora-training") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1990/optimizer.bin from Mujeeb603/lora-training: direct link, hf CLI and curl.
- Browser
- Download file 28.5 MB
-
https://huggingface.co/Mujeeb603/lora-training/resolve/main/checkpoint-1990/optimizer.bin
- Command line
-
hf download hf://Mujeeb603/lora-training/checkpoint-1990/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Mujeeb603/lora-training/resolve/main/checkpoint-1990/optimizer.bin
28.5 MB
- Xet hash:
- d39712641e1822fd6e3097ac6d0b250687d939105d66ecefe956c6a5df2e599e
- Size of remote file:
- 28.5 MB
- SHA256:
- 80babc330d9a5375e5c5aa885a3868576f84132418ae697adaa994bbbc10c7f5
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