Instructions to use vodanh/mahfok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vodanh/mahfok with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vodanh/mahfok", dtype=torch.bfloat16, device_map="cuda") 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
Model Description
- merged model.
- realistic texture and Asian face.
- designed to maintain a responsive reaction to danbooru based prompts.
Gradio
We support a Gradio Web UI to run basil_mix:
Recommendations
- VAE: vae-ft-mse-840000 from StabilityAI
- Prompting: Simple prompts are better. Large amounts of quality tags and negative prompts can have negative effects.
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