Instructions to use Muapi/nsfw-pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/nsfw-pose 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/nsfw-pose") 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:
- 50197781187d3539e7b54466aa7cc84db8a2b0ecf8f61ce7290d5f72537bb39e
- Size of remote file:
- 802 kB
- SHA256:
- cc985ef47847375cd6791eed59a1848a3bc8fec7bcf66aba159b04af21328e1b
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