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-3500/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-3500/optimizer.bin
- Command line
-
hf download hf://licb-k/model0114/checkpoint-3500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/licb-k/model0114/resolve/main/checkpoint-3500/optimizer.bin
2.89 GB
- Xet hash:
- 2bb8bd9087f3f4ed04c9a3292ec6b18a15f913f84167a3ef410afdbdb6944e53
- Size of remote file:
- 2.89 GB
- SHA256:
- 5a9f69054b2cab8cff0130b381ad1320e71fc6c62a2564a4070e2a09cc0268c9
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