matthieu-v2-pipe / model_index.json
jplumail
end of training. runwayml/stable-diffusion-v1-5. vae from stabilityai/sd-vae-ft-mse. lr=5e-7. 4000 steps. batch size=2. mixed precision. trained text encoder. 1k reg images. 50 instance images.
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{
"_class_name": "StableDiffusionPipeline",
"_diffusers_version": "0.12.0.dev0",
"feature_extractor": [
"transformers",
"CLIPImageProcessor"
],
"requires_safety_checker": true,
"safety_checker": [
"stable_diffusion",
"StableDiffusionSafetyChecker"
],
"scheduler": [
"diffusers",
"PNDMScheduler"
],
"text_encoder": [
"transformers",
"CLIPTextModel"
],
"tokenizer": [
"transformers",
"CLIPTokenizer"
],
"unet": [
"diffusers",
"UNet2DConditionModel"
],
"vae": [
"diffusers",
"AutoencoderKL"
]
}