Instructions to use DankCloth/2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DankCloth/2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DankCloth/2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of owen wilson man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weights.safetensors from DankCloth/2: direct link, hf CLI and curl.
- Browser
- Download file 4.74 MB
-
https://huggingface.co/DankCloth/2/resolve/main/pytorch_lora_weights.safetensors
- Command line
-
hf download hf://DankCloth/2/pytorch_lora_weights.safetensors
-
curl -L -o pytorch_lora_weights.safetensors https://huggingface.co/DankCloth/2/resolve/main/pytorch_lora_weights.safetensors
4.74 MB
- Xet hash:
- 86106b476c97b8c39115b3f3dfd2a36e5de3cb72b07aabda7b8b1f9af7872123
- Size of remote file:
- 4.74 MB
- SHA256:
- 51a5e205824cb197adee518f781f7c853596c3266dcc5820ad4276853f1c3e0a
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