Instructions to use Kalashnikov/fal_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kalashnikov/fal_new 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("Kalashnikov/fal_new") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add fal_new.safetensors
Browse files- fal_new.safetensors +3 -0
fal_new.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0ac6034d605db2978d2b6b84d73fa938fd0be41a301d2bb4207b62785568ff0
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size 130958064
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