Instructions to use Muapi/deeper-deepthroat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/deeper-deepthroat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/deeper-deepthroat") 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:
- fa90169f34e17af3f2dec699b7a51f96daaf193a956ac44c76a16eeb6943c75d
- Size of remote file:
- 3.7 MB
- SHA256:
- 68b6ebec122dca11aafecc3b81c0ce4130af5760870c128537e97b4eaf9ede00
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