Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use c-eshih/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use c-eshih/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("c-eshih/models-moved") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-8000/optimizer.bin from c-eshih/models-moved: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/c-eshih/models-moved/resolve/main/checkpoint-8000/optimizer.bin
- Command line
-
hf download hf://c-eshih/models-moved/checkpoint-8000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/c-eshih/models-moved/resolve/main/checkpoint-8000/optimizer.bin
2.89 GB
- Xet hash:
- 2819bdd3b97090def160b1c697e6aca49f01010a74c7548a995b8dc406aedb70
- Size of remote file:
- 2.89 GB
- SHA256:
- 1cf1ad74823cf524fe43cd895dc0518092022a9aa5226dbdc448f87629804c0a
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