Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Wouter01/really_good_diffusion_model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wouter01/really_good_diffusion_model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Wouter01/really_good_diffusion_model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
End of training
Browse files- config.json +1 -1
- diffusion_pytorch_model.safetensors +1 -1
- images_0.png +0 -0
- images_1.png +0 -0
config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.28.0.dev0",
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"_name_or_path": "really_good_diffusion_model_out/checkpoint-
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.28.0.dev0",
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"_name_or_path": "really_good_diffusion_model_out/checkpoint-50000",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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diffusion_pytorch_model.safetensors
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images_0.png
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images_1.png
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