Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use hxgrace/model_2_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hxgrace/model_2_20 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("hxgrace/model_2_20") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from hxgrace/model_2_20: direct link, hf CLI and curl.
- Browser
- Download file 524 Bytes
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https://huggingface.co/hxgrace/model_2_20/resolve/main/README.md
- Command line
-
hf download hf://hxgrace/model_2_20/README.md
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curl -L -o README.md https://huggingface.co/hxgrace/model_2_20/resolve/main/README.md
524 Bytes
| license: creativeml-openrail-m | |
| base_model: stabilityai/stable-diffusion-2-1-base | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| - controlnet | |
| inference: true | |
| # controlnet-hxgrace/model20 | |
| These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning, based on the dataset found at [hxgrace/augmentedSketches](https://huggingface.co/datasets/hxgrace/augmentedSketches?row=3). It was trained with a batch size of 2 over 20 epochs. | |