Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use samanthavaca/model_out_10k_instance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use samanthavaca/model_out_10k_instance with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("samanthavaca/model_out_10k_instance") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5000/optimizer.bin from samanthavaca/model_out_10k_instance: direct link, hf CLI and curl.
- Browser
- Download file 1.33 kB
-
https://huggingface.co/samanthavaca/model_out_10k_instance/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://samanthavaca/model_out_10k_instance/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/samanthavaca/model_out_10k_instance/resolve/main/checkpoint-5000/optimizer.bin
1.33 kB
- Xet hash:
- 2fb9670ae07bb7efb5dae7ef2df0db884f5d8dc9e1e6ebc8e4ef86e500c5d7b6
- Size of remote file:
- 1.33 kB
- SHA256:
- ba86e22cf24b186c1e7a93e816d4241205a2f6af02942a2d991c134a81227628
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