comfy/clip_vision_config_vitl.json

{
  "attention_dropout": 0.0,
  "dropout": 0.0,
  "hidden_act": "quick_gelu",
  "hidden_size": 1024,
  "image_size": 224,
  "initializer_factor": 1.0,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "layer_norm_eps": 1e-05,
  "model_type": "clip_vision_model",
  "num_attention_heads": 16,
  "num_channels": 3,
  "num_hidden_layers": 24,
  "patch_size": 14,
  "projection_dim": 768,
  "torch_dtype": "float32"
}
A tiny bit of reorganizing. 2023-03-06 01:30:17 -05:00			`{`
			`"attention_dropout": 0.0,`
			`"dropout": 0.0,`
			`"hidden_act": "quick_gelu",`
			`"hidden_size": 1024,`
			`"image_size": 224,`
			`"initializer_factor": 1.0,`
			`"initializer_range": 0.02,`
			`"intermediate_size": 4096,`
			`"layer_norm_eps": 1e-05,`
			`"model_type": "clip_vision_model",`
			`"num_attention_heads": 16,`
			`"num_channels": 3,`
			`"num_hidden_layers": 24,`
			`"patch_size": 14,`
			`"projection_dim": 768,`
Add support for unCLIP SD2.x models. See _for_testing/unclip in the UI for the new nodes. unCLIPCheckpointLoader is used to load them. unCLIPConditioning is used to add the image cond and takes as input a CLIPVisionEncode output which has been moved to the conditioning section. 2023-04-01 23:19:15 -04:00			`"torch_dtype": "float32"`
A tiny bit of reorganizing. 2023-03-06 01:30:17 -05:00			`}`