Instructions to use mjopala/FAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mjopala/FAL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mjopala/FAL") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add FAL.safetensors
Browse files- FAL.safetensors +3 -0
FAL.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6e86ed6f48ddc881a78832ffca3afdeacf385cd06b693739d1529898d2725fb
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size 130958064
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