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These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 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-xl-base-1.0 with new type of conditioning. You can find some example images below.
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1 fonteVerificado 30 de jul.
Artefatos de modelo
1 artefatocheckpoint-1000/controlnet/diffusion_pytorch_model.safetensors
safetensors · 4,66 GB · SHA-256 394158a8c6ba…7dcf · Hugging Face
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# TODO: add an example code snippet for running this diffusion pipeline
[TODO: provide examples of latent issues and potential remediations]
[TODO: describe the data used to train the model]
--- base_model: stabilityai/stable-diffusion-xl-base-1.0 library_name: diffusers license: openrail++ inference: true tags: - stable-diffusion-xl - stable-diffusion-xl-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-x444/controlnet These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below. prompt: Three overlapping rectangular banners in blue, yellow, and green with white circular elements create a modern infographic design on a subtle gray gradient background.  prompt: A series of vertical panels featuring vibrant half-circle designs in yellow, orange, green, blue, and purple on a white background, each with aligned text below, creating a modern and colorful infographic layout.  ## 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: 5 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo x444/controlnet