Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use licb-k/model0114 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use licb-k/model0114 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("licb-k/model0114") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3000/optimizer.bin from licb-k/model0114: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/licb-k/model0114/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://licb-k/model0114/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/licb-k/model0114/resolve/main/checkpoint-3000/optimizer.bin
2.89 GB
- Xet hash:
- 25facb9051d38c536bdb7b05d8aa5846f887af2d98e0680cc80afc8bf0a20bf5
- Size of remote file:
- 2.89 GB
- SHA256:
- c5ce4f64e3721cee82e785573d2e2d0dc5bb5d4e473258292f28bdd5b7604547
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