Instructions to use wkplhc/3dcg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wkplhc/3dcg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/mklan-xxx-nsfw-pony", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wkplhc/3dcg") prompt = "brehbt" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files- 3DCG_shocking_style.safetensors +3 -0
- images/out-0 (4).webp +3 -0
3DCG_shocking_style.safetensors
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version https://git-lfs.github.com/spec/v1
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size 228463452
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images/out-0 (4).webp
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Git LFS Details
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