Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use jackjcoop/pet_test_thresh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jackjcoop/pet_test_thresh with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jackjcoop/pet_test_thresh") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3000/optimizer.bin from jackjcoop/pet_test_thresh: direct link, hf CLI and curl.
- Browser
- Download file 2.54 GB
-
https://huggingface.co/jackjcoop/pet_test_thresh/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://jackjcoop/pet_test_thresh/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jackjcoop/pet_test_thresh/resolve/main/checkpoint-3000/optimizer.bin
2.54 GB
- Xet hash:
- e09b8390e54e881bde378befb10e8b3760bc518bcacf5028994052a7e0c8b3cf
- Size of remote file:
- 2.54 GB
- SHA256:
- 3e8802cc58093b9b5a3f6345def806cdeeeed3821d373f6c3138a1df347693f7
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