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These are controlnet weights trained on stabilityai/stable-diffusion-2-1 with new type of conditioning. You can find some example images below.
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These are controlnet weights trained on stabilityai/stable-diffusion-2-1 with new type of conditioning. You can find some example images below.
prompt: یک لوگوی مدرن برای یک شرکت فناوری پیشرفته images_0)
# TODO: add an example code snippet for running this diffusion pipeline
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1 fonteVerificado 29 de jul.
Artefatos de modelo
1 artefatocheckpoint-200/controlnet/diffusion_pytorch_model.safetensors
safetensors · 1,36 GB · SHA-256 fa7c8fbb89e9…139f · Hugging Face
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2 trechos[TODO: provide examples of latent issues and potential remediations]
[TODO: describe the data used to train the model]
--- base_model: stabilityai/stable-diffusion-2-1 library_name: diffusers license: creativeml-openrail-m inference: true tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # controlnet-ayda138000/controlnet_persian_text_v2-1 These are controlnet weights trained on stabilityai/stable-diffusion-2-1 with new type of conditioning. You can find some example images below. prompt: یک لوگوی مدرن برای یک شرکت فناوری پیشرفته  ## Intended uses & limitations #### How to use ```python # TODO: add an example code snippet for running this diffusion pipeline ``` #### Limitations and bias [TODO: provide examples of latent issues and potential remediations] ## Training details [TODO: describe the data used to train the model]
Source context: 8 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ayda138000/controlnet_persian_text_v2-1