Instructions to use Muapi/caressing-testicles-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/caressing-testicles-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/caressing-testicles-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:
- 78136c7a5bd123848e8eb846d1ea57461afe865664570fec4b97dcebd33b0151
- Size of remote file:
- 4.55 MB
- SHA256:
- 389825437fc106e7d718e1170595a3e8b237824ab952116db6c98eeec30f116a
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