Does sd_xl_base_0.9.safetensors contain all weights?
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xings19
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Does sd_xl_base_0.9.safetensors contain all weights?
Does it contain all the weights of unet, vae, text_model? if yes, can this file be used alone?
if i load the model like this:
pipe1 = StableDiffusionXLPipeline.from_single_file('/root/xxx/xxx/stable-diffusion-xl-base-0.9/sd_xl_base_0.9.safetensors')
The program will have the following output
global_step key not found in model
Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.23.self_attn.k_proj.bias', 'vision_model.encoder.layers.9.mlp.fc1.weight', 'vision_model.encoder.layers.17.self_attn.v_proj.bias', 'vision_model.encoder.layers.3.layer_norm1.bias', 'vision_model.encoder.layers.18.self_attn.q_proj.bias', 'vision_model.encoder.layers.16.self_attn.k_proj.weight', 'vision_model.encoder.layers.9.layer_norm2.bias', 'vision_model.encoder.layers.17.mlp.fc2.weight', 'vision_model.encoder.layers.8.layer_norm1.weight', 'vision_model.encoder.layers.21.self_attn.out_proj.bias', 'vision_model.encoder.layers.5.mlp.fc1.bias', 'vision_model.embeddings.patch_embedding.weight', 'vision_model.encoder.layers.19.self_attn.q_proj.weight', 'vision_model.encoder.layers.11.self_attn.v_proj.bias', 'vision_model.encoder.layers.11.self_attn.out_proj.weight', 'vision_model.encoder.layers.23.self_attn.q_proj.bias', 'vision_model.encoder.layers.19.mlp.fc1.weight', 'vision_model.encoder.layers.21.layer_norm2.weight', 'vision_model.encoder.layers.21.self_attn.q_proj.bias', 'vision_model.encoder.layers.6.self_attn.q_proj.bias', 'vision_model.encoder.layers.10.mlp.fc2.weight', 'vision_model.encoder.layers.6.layer_norm1.bias', 'vision_model.encoder.layers.4.mlp.fc2.bias', 'vision_model.encoder.layers.14.self_attn.k_proj.bias', 'vision_model.encoder.layers.0.self_attn.v_proj.weight', 'vision_model.embeddings.class_embedding', 'vision_model.encoder.layers.7.layer_norm1.bias', 'vision_model.encoder.layers.22.layer_norm2.bias', 'vision_model.encoder.layers.9.layer_norm1.bias', 'vision_model.encoder.layers.23.mlp.fc1.weight', 'vision_model.encoder.layers.16.mlp.fc2.bias', 'vision_model.encoder.layers.20.layer_norm2.bias', 'vision_model.encoder.layers.17.self_attn.q_proj.bias', 'vision_model.encoder.layers.7.self_attn.k_proj.weight', 'vision_model.encoder.layers.2.layer_norm1.bias', 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- This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Downloading shards: 0%| | 0/2 [00:00<?, ?it/s^Downloading shards: 0%| | 0/2 [00:34<?, ?it/s]
Hey @xings19 ,
The loading of the single file format will be greatly improved with this PR: https://github.com/huggingface/diffusers/pull/4041