Instructions to use mangoxb/tangled3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mangoxb/tangled3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mangoxb/tangled3") prompt = "a photo of qzx rapunzel or vmn flynn" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 49faad874d00c29fc388bd21319a2c34cd5f718d86bd84ce4e8a0ab2855bfcc6
- Size of remote file:
- 9.03 MB
- SHA256:
- 4ad726dc76f8d58f0a329b54b1847a5fa56e7582c03b39f53349aba2395eaa62
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