Instructions to use Speedso/Falni7_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Speedso/Falni7_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/furrytoonmix", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Speedso/Falni7_style") prompt = "masterpiece, best quality, amazing quality, absurdres, falni, penis, solo, paws, pawpads, paw focus, 4 fingers, 4 toes, slimy paws, fluid string, paw sandwich, balls, canine, lying, on back, from below, digitigrade, claws, ass, spread legs, feet together, legs up, thick thighs, black body, black canine penis, white skull mask, goo creature, dripping tar," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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