Instructions to use lucataco/flux-queso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucataco/flux-queso 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("lucataco/flux-queso") prompt = "a portrait photo of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.pt from lucataco/flux-queso: direct link, hf CLI and curl.
- Browser
- Download file 173 MB
-
https://huggingface.co/lucataco/flux-queso/resolve/main/optimizer.pt
- Command line
-
hf download hf://lucataco/flux-queso/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lucataco/flux-queso/resolve/main/optimizer.pt
173 MB
- Xet hash:
- f716c82eee1a8b75a53e1f861173f85cdb0a6853531cbd6928608afaeb2d442a
- Size of remote file:
- 173 MB
- SHA256:
- 324772dd9f04f0c1c4b1de5614cd94771c9d796ce353bcf89331bfe46ddb84d5
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