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Commit
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add onnx conversion of stabilityai/stable-diffusion-x4-upscaler@19b610c

Browse files
README.md CHANGED
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  ---
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  license: openrail++
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
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  ---
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  license: openrail++
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+ tags:
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+ - stable-diffusion
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+ - text-to-image
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+ inference: false
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  ---
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+
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+ # Stable Diffusion x4 ONNX
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+ This model card focuses on the model associated with the Stable Diffusion Upscaler, available [here](https://github.com/Stability-AI/stablediffusion).
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+ This model is trained for 1.25M steps on a 10M subset of LAION containing images `>2048x2048`. The model was trained on crops of size `512x512` and is a text-guided [latent upscaling diffusion model](https://arxiv.org/abs/2112.10752).
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+ In addition to the textual input, it receives a `noise_level` as an input parameter, which can be used to add noise to the low-resolution input according to a [predefined diffusion schedule](configs/stable-diffusion/x4-upscaling.yaml).
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+
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+ Converted to ONNX format for https://github.com/huggingface/diffusers/pull/2158
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+
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+ {
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+ "_class_name": "DDIMScheduler",
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+ "_diffusers_version": "0.11.1",
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+ "beta_end": 0.02,
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+ "beta_schedule": "scaled_linear",
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+ "beta_start": 0.0001,
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+ "clip_sample": false,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "v_prediction",
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+ "set_alpha_to_one": false,
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+ "skip_prk_steps": true,
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+ "steps_offset": 1,
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+ "trained_betas": null
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+ }
model_index.json ADDED
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+ {
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+ "_class_name": "StableDiffusionUpscalePipeline",
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+ "_diffusers_version": "0.11.1",
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+ "low_res_scheduler": [
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+ "diffusers",
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+ "DDIMScheduler"
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+ ],
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+ "max_noise_level": 350,
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+ "scheduler": [
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+ "diffusers",
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+ "DDIMScheduler"
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+ ],
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+ "text_encoder": [
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+ "diffusers",
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+ "OnnxRuntimeModel"
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+ ],
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+ "tokenizer": [
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+ "transformers",
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+ "CLIPTokenizer"
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+ ],
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+ "unet": [
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+ "diffusers",
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+ "OnnxRuntimeModel"
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+ ],
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+ "diffusers",
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+ "OnnxRuntimeModel"
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+ ]
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+ }
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+ "clip_sample": false,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "v_prediction",
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