Instructions to use mrTvister/hitf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrTvister/hitf 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("mrTvister/hitf") prompt = "An anthropomorphic frog swinging a sledgehammer to smash a walnut, in the style of the animated film \"Hedgehog in the Fog\". The frog has exaggerated facial features, large expressive eyes and a wide mouth. She is wearing a simple vest and holds a disproportionately large sledgehammer with a wooden handle. The walnut is placed on a wooden stump. The background turned out to be hazy and fabulous, with soft, muted colors, mainly shades of blue, gray and sepia. The artistic style is characterized by hand-drawn, slightly schematic lines with watercolor textures. The shadows are deep and mysterious, they create a sense of depth and atmosphere. Overall, the scene looks surreal, fabulous, with slightly distorted proportions and a gentle, whimsical mood." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K