Instructions to use Muapi/deepthroat-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/deepthroat-concept with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/deepthroat-concept") 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

- Xet hash:
- 09cfc2482b29b40ad7932e05e6b6d14c3074bb040da42c55f41f20c05b227a7f
- Size of remote file:
- 1.87 MB
- SHA256:
- 1aa18588837329b986a72fa7d298e44d5d2e8e912462081d0b00d7d1eb9f8326
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