Hello, I'm unable to use the "Make Lora" feature. All models I use throw errors. Here I was trying to use Nothing_V23 and Nothing_V24, but others fail too. I disabled all but standard extensions and error still appears.
make LoRA start loading SD model : F:\WIP\ML\1111\stable-diffusion-webui\models\Stable-diffusion\Anime\_best_A\nothing_V23.safetensors diffusers version : 0.19.3 loading u-net: <All keys matched successfully> Traceback (most recent call last): File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict output = await app.get_blocks().process_api( File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api result = await self.call_function( File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function prediction = await anyio.to_thread.run_sync( File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread return await future File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run result = context.run(func, *args) File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper response = f(*args, **kwargs) File "F:\WIP\ML\1111\stable-diffusion-webui\extensions\sd-webui-supermerger\scripts\mergers\pluslora.py", line 228, in makelora result = svd(fullpathfromname(model_a),fullpathfromname(model_b),False,dim,precision,saveto,alpha,beta) File "F:\WIP\ML\1111\stable-diffusion-webui\extensions\sd-webui-supermerger\scripts\mergers\pluslora.py", line 822, in svd text_encoder_o, _, unet_o, result = load_models_from_stable_diffusion_checkpoint(v2, model_b) File "F:\WIP\ML\1111\stable-diffusion-webui\extensions\sd-webui-supermerger\scripts\mergers\model_util.py", line 811, in load_models_from_stable_diffusion_checkpoint info = vae.load_state_dict(converted_vae_checkpoint) File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for AutoencoderKL: Missing key(s) in state_dict: "encoder.mid_block.attentions.0.to_q.weight", "encoder.mid_block.attentions.0.to_q.bias", "encoder.mid_block.attentions.0.to_k.weight", "encoder.mid_block.attentions.0.to_k.bias", "encoder.mid_block.attentions.0.to_v.weight", "encoder.mid_block.attentions.0.to_v.bias", "encoder.mid_block.attentions.0.to_out.0.weight", "encoder.mid_block.attentions.0.to_out.0.bias", "decoder.mid_block.attentions.0.to_q.weight", "decoder.mid_block.attentions.0.to_q.bias", "decoder.mid_block.attentions.0.to_k.weight", "decoder.mid_block.attentions.0.to_k.bias", "decoder.mid_block.attentions.0.to_v.weight", "decoder.mid_block.attentions.0.to_v.bias", "decoder.mid_block.attentions.0.to_out.0.weight", "decoder.mid_block.attentions.0.to_out.0.bias". Unexpected key(s) in state_dict: "encoder.mid_block.attentions.0.key.bias", "encoder.mid_block.attentions.0.key.weight", "encoder.mid_block.attentions.0.proj_attn.bias", "encoder.mid_block.attentions.0.proj_attn.weight", "encoder.mid_block.attentions.0.query.bias", "encoder.mid_block.attentions.0.query.weight", "encoder.mid_block.attentions.0.value.bias", "encoder.mid_block.attentions.0.value.weight", "decoder.mid_block.attentions.0.key.bias", "decoder.mid_block.attentions.0.key.weight", "decoder.mid_block.attentions.0.proj_attn.bias", "decoder.mid_block.attentions.0.proj_attn.weight", "decoder.mid_block.attentions.0.query.bias", "decoder.mid_block.attentions.0.query.weight", "decoder.mid_block.attentions.0.value.bias", "decoder.mid_block.attentions.0.value.weight".
hako-mikan
commented
1 year ago
Hello, I'm unable to use the "Make Lora" feature. All models I use throw errors. Here I was trying to use Nothing_V23 and Nothing_V24, but others fail too. I disabled all but standard extensions and error still appears.
make LoRA start loading SD model : F:\WIP\ML\1111\stable-diffusion-webui\models\Stable-diffusion\Anime\_best_A\nothing_V23.safetensors diffusers version : 0.19.3 loading u-net: <All keys matched successfully> Traceback (most recent call last): File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict output = await app.get_blocks().process_api( File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api result = await self.call_function( File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function prediction = await anyio.to_thread.run_sync( File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread return await future File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run result = context.run(func, *args) File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper response = f(*args, **kwargs) File "F:\WIP\ML\1111\stable-diffusion-webui\extensions\sd-webui-supermerger\scripts\mergers\pluslora.py", line 228, in makelora result = svd(fullpathfromname(model_a),fullpathfromname(model_b),False,dim,precision,saveto,alpha,beta) File "F:\WIP\ML\1111\stable-diffusion-webui\extensions\sd-webui-supermerger\scripts\mergers\pluslora.py", line 822, in svd text_encoder_o, _, unet_o, result = load_models_from_stable_diffusion_checkpoint(v2, model_b) File "F:\WIP\ML\1111\stable-diffusion-webui\extensions\sd-webui-supermerger\scripts\mergers\model_util.py", line 811, in load_models_from_stable_diffusion_checkpoint info = vae.load_state_dict(converted_vae_checkpoint) File "F:\WIP\ML\1111\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for AutoencoderKL: Missing key(s) in state_dict: "encoder.mid_block.attentions.0.to_q.weight", "encoder.mid_block.attentions.0.to_q.bias", "encoder.mid_block.attentions.0.to_k.weight", "encoder.mid_block.attentions.0.to_k.bias", "encoder.mid_block.attentions.0.to_v.weight", "encoder.mid_block.attentions.0.to_v.bias", "encoder.mid_block.attentions.0.to_out.0.weight", "encoder.mid_block.attentions.0.to_out.0.bias", "decoder.mid_block.attentions.0.to_q.weight", "decoder.mid_block.attentions.0.to_q.bias", "decoder.mid_block.attentions.0.to_k.weight", "decoder.mid_block.attentions.0.to_k.bias", "decoder.mid_block.attentions.0.to_v.weight", "decoder.mid_block.attentions.0.to_v.bias", "decoder.mid_block.attentions.0.to_out.0.weight", "decoder.mid_block.attentions.0.to_out.0.bias". Unexpected key(s) in state_dict: "encoder.mid_block.attentions.0.key.bias", "encoder.mid_block.attentions.0.key.weight", "encoder.mid_block.attentions.0.proj_attn.bias", "encoder.mid_block.attentions.0.proj_attn.weight", "encoder.mid_block.attentions.0.query.bias", "encoder.mid_block.attentions.0.query.weight", "encoder.mid_block.attentions.0.value.bias", "encoder.mid_block.attentions.0.value.weight", "decoder.mid_block.attentions.0.key.bias", "decoder.mid_block.attentions.0.key.weight", "decoder.mid_block.attentions.0.proj_attn.bias", "decoder.mid_block.attentions.0.proj_attn.weight", "decoder.mid_block.attentions.0.query.bias", "decoder.mid_block.attentions.0.query.weight", "decoder.mid_block.attentions.0.value.bias", "decoder.mid_block.attentions.0.value.weight".