Instructions to use flambuss420/lora3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flambuss420/lora3 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("flambuss420/lora3") prompt = "strayo" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.pt from flambuss420/lora3: direct link, hf CLI and curl.
- Browser
- Download file 173 MB
-
https://huggingface.co/flambuss420/lora3/resolve/main/optimizer.pt
- Command line
-
hf download hf://flambuss420/lora3/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/flambuss420/lora3/resolve/main/optimizer.pt
173 MB
- Xet hash:
- c9a7647a3e36a144555e314f36fb1e9551e70c6f2d27f1b8b57af78e34821d56
- Size of remote file:
- 173 MB
- SHA256:
- 7bb4a730df9df4cb3d22b38392deb97d07c3032dc7f74ec3882d8c35bf03346d
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