Instructions to use SQUIGSXN/Models2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SQUIGSXN/Models2 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("SQUIGSXN/Models2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from SQUIGSXN/Models2: direct link, hf CLI and curl.
- Browser
- Download file 338 Bytes
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https://huggingface.co/SQUIGSXN/Models2/resolve/main/README.md
- Command line
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hf download hf://SQUIGSXN/Models2/README.md
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curl -L -o README.md https://huggingface.co/SQUIGSXN/Models2/resolve/main/README.md
338 Bytes
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