Comments (42)
acheong08
commented on May 21, 2024
2.1 must have changed something again. I'll check out the SD thread
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RayZ3R0
commented on May 21, 2024
Alright
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acheong08
commented on May 21, 2024
https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20
It says it should be identical. Make sure the 2.1 model you're using is 768 rather than 512 as both versions are available
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RayZ3R0
commented on May 21, 2024
Yeah it is 768, its a dreambooth model which I trained using TheLastBen's colab and I selected the 768 version
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acheong08
commented on May 21, 2024
Can you send the full log? Need to check if it's applying the json/yaml properly
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acheong08
commented on May 21, 2024
If it is, it could be Stability-AI/stablediffusion@c12d960 which is an inherent flaw of 2.1. I might need to change the code to fix that.
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RayZ3R0
commented on May 21, 2024
I tried it again after getting error so it says it already exists, I'm trying once again from fresh
/content
/content
fatal: destination path 'stable-diffusion-webui' already exists and is not an empty directory.
/content/stable-diffusion-webui
Already up to date.
/content
--2022-12-26 12:56:03-- https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/configs/stable-diffusion/v2-inference-v.yaml
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.111.133, 185.199.108.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1815 (1.8K) [text/plain]
Saving to: ‘/content/stable-diffusion-webui/models/Stable-diffusion/sicke.yaml’
/content/stable-dif 100%[===================>] 1.77K --.-KB/s in 0s
2022-12-26 12:56:03 (37.6 MB/s) - ‘/content/stable-diffusion-webui/models/Stable-diffusion/sicke.yaml’ saved [1815/1815]
--2022-12-26 12:56:03-- https://huggingface.co/Z3R069/sick/resolve/main/Sickers.ckpt
Resolving huggingface.co (huggingface.co)... 54.152.211.32, 23.22.186.9, 18.235.116.140, ...
Connecting to huggingface.co (huggingface.co)|54.152.211.32|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://cdn-lfs.huggingface.co/repos/5d/e5/5de5b77fc3658dbfb8e3d3791a2d5f39558f5e5a6ab977a3d558f13d4387c18a/14eed25869f498e82a72f009db7cfcc63c05d401e1698e174c1931580312faf0?response-content-disposition=attachment%3B%20filename%3D%22Sickers.ckpt%22&Expires=1672318564&Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cHM6Ly9jZG4tbGZzLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzVkL2U1LzVkZTViNzdmYzM2NThkYmZiOGUzZDM3OTFhMmQ1ZjM5NTU4ZjVlNWE2YWI5NzdhM2Q1NThmMTNkNDM4N2MxOGEvMTRlZWQyNTg2OWY0OThlODJhNzJmMDA5ZGI3Y2ZjYzYzYzA1ZDQwMWUxNjk4ZTE3NGMxOTMxNTgwMzEyZmFmMD9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPWF0dGFjaG1lbnQlM0IlMjBmaWxlbmFtZSUzRCUyMlNpY2tlcnMuY2twdCUyMiIsIkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY3MjMxODU2NH19fV19&Signature=zAN18-rQUPD6Tn27K3~cY8wfGux2wF60-AWsdZsMj4KGOnRKAfTC6E3VTDuKHbTKPwJ2Ct~Zkw2UqEr4bNrBjf6WFUscWo6dr5pQdy4Ut8OGg1JEduC6eTTK97Xrl5bP~Io~DBx1STlqigbHHAG9eQ7wma8m4uB4FIzKajLi9OglOsL54fBUdSw2d28~iHZp6XnXfVBeLH3lDeyUpL-RqXcaMzfHXreKNGspGqymaMW~wokJyVWK3rdjXshs1rrHAQriaj~L3CKFYJJ3v1dx69sV8Uh8r5Jtekn8DrXSMQ75B~LN1wWhXsemohleOHp2DEBrloM2hiAmmq78mRGdLA__&Key-Pair-Id=KVTP0A1DKRTAX [following]
--2022-12-26 12:56:04-- https://cdn-lfs.huggingface.co/repos/5d/e5/5de5b77fc3658dbfb8e3d3791a2d5f39558f5e5a6ab977a3d558f13d4387c18a/14eed25869f498e82a72f009db7cfcc63c05d401e1698e174c1931580312faf0?response-content-disposition=attachment%3B%20filename%3D%22Sickers.ckpt%22&Expires=1672318564&Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cHM6Ly9jZG4tbGZzLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzVkL2U1LzVkZTViNzdmYzM2NThkYmZiOGUzZDM3OTFhMmQ1ZjM5NTU4ZjVlNWE2YWI5NzdhM2Q1NThmMTNkNDM4N2MxOGEvMTRlZWQyNTg2OWY0OThlODJhNzJmMDA5ZGI3Y2ZjYzYzYzA1ZDQwMWUxNjk4ZTE3NGMxOTMxNTgwMzEyZmFmMD9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPWF0dGFjaG1lbnQlM0IlMjBmaWxlbmFtZSUzRCUyMlNpY2tlcnMuY2twdCUyMiIsIkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY3MjMxODU2NH19fV19&Signature=zAN18-rQUPD6Tn27K3~cY8wfGux2wF60-AWsdZsMj4KGOnRKAfTC6E3VTDuKHbTKPwJ2Ct~Zkw2UqEr4bNrBjf6WFUscWo6dr5pQdy4Ut8OGg1JEduC6eTTK97Xrl5bP~Io~DBx1STlqigbHHAG9eQ7wma8m4uB4FIzKajLi9OglOsL54fBUdSw2d28~iHZp6XnXfVBeLH3lDeyUpL-RqXcaMzfHXreKNGspGqymaMW~wokJyVWK3rdjXshs1rrHAQriaj~L3CKFYJJ3v1dx69sV8Uh8r5Jtekn8DrXSMQ75B~LN1wWhXsemohleOHp2DEBrloM2hiAmmq78mRGdLA__&Key-Pair-Id=KVTP0A1DKRTAX
Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 13.227.254.33, 13.227.254.123, 13.227.254.52, ...
Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|13.227.254.33|:443... connected.
HTTP request sent, awaiting response... 416 Requested Range Not Satisfiable
The file is already fully retrieved; nothing to do.
/content/stable-diffusion-webui/extensions
fatal: destination path 'stable-diffusion-webui-images-browser' already exists and is not an empty directory.
/content
/content/stable-diffusion-webui
|████████████████████████████████| 102.9 MB 46 kB/s
Python 3.8.16 (default, Dec 7 2022, 01:12:13)
[GCC 7.5.0]
Commit hash: b85d055af7475bd8536b2cb42e0a0b0635cbc583
Installing requirements for Web UI
Launching Web UI with arguments: --share --xformers --enable-insecure-extension-access --gradio-auth a:b
Loading config from: /content/stable-diffusion-webui/models/Stable-diffusion/sicke.yaml
LatentDiffusion: Running in v-prediction mode
DiffusionWrapper has 865.91 M params.
Loading weights [1118ae92] from /content/stable-diffusion-webui/models/Stable-diffusion/sicke.ckpt
Traceback (most recent call last):
File "launch.py", line 295, in <module>
start()
File "launch.py", line 290, in start
webui.webui()
File "/content/stable-diffusion-webui/webui.py", line 133, in webui
initialize()
File "/content/stable-diffusion-webui/webui.py", line 63, in initialize
modules.sd_models.load_model()
File "/content/stable-diffusion-webui/modules/sd_models.py", line 313, in load_model
load_model_weights(sd_model, checkpoint_info)
File "/content/stable-diffusion-webui/modules/sd_models.py", line 197, in load_model_weights
model.load_state_dict(sd, strict=False)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1667, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for LatentDiffusion:
size mismatch for model.diffusion_model.input_blocks.1.1.proj_in.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.input_blocks.1.1.proj_out.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.input_blocks.2.1.proj_in.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.input_blocks.2.1.proj_out.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.input_blocks.4.1.proj_in.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.input_blocks.4.1.proj_out.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.input_blocks.5.1.proj_in.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.input_blocks.5.1.proj_out.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.input_blocks.7.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.input_blocks.7.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.input_blocks.8.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.input_blocks.8.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.middle_block.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.middle_block.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.output_blocks.3.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.output_blocks.3.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.output_blocks.4.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.output_blocks.4.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.output_blocks.5.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 1024]).
size mismatch for model.diffusion_model.output_blocks.5.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.output_blocks.6.1.proj_in.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.output_blocks.6.1.proj_out.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.7.1.proj_in.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.output_blocks.7.1.proj_out.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.8.1.proj_in.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 1024]).
size mismatch for model.diffusion_model.output_blocks.8.1.proj_out.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.9.1.proj_in.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.output_blocks.9.1.proj_out.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.output_blocks.10.1.proj_in.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.output_blocks.10.1.proj_out.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.output_blocks.11.1.proj_in.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).
size mismatch for model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).
size mismatch for model.diffusion_model.output_blocks.11.1.proj_out.weight: copying a param with shape torch.Size([320, 320, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 320]).```
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acheong08
commented on May 21, 2024
Loading config from: /content/stable-diffusion-webui/models/Stable-diffusion/sicke.yaml
It's definitely applying the config. I might need to do some fixes. Is the model public?
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RayZ3R0
commented on May 21, 2024
Made it public, here https://huggingface.co/Z3R069/sick/resolve/main/Sickers.ckpt
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acheong08
commented on May 21, 2024
Replicated issue. Trying to fix it
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RayZ3R0
commented on May 21, 2024
Ugh mine's shutting down with ^C everytime
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acheong08
commented on May 21, 2024
Google is limiting your access. Low VRAM assigned
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RayZ3R0
commented on May 21, 2024
I used different google account with vpn but still shutting down
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acheong08
commented on May 21, 2024
I'm getting the same issue now. Google might just be limiting everyone due to high demand
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RayZ3R0
commented on May 21, 2024
Oh
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RayZ3R0
commented on May 21, 2024
Its working now btw but Im still getting the error
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acheong08
commented on May 21, 2024
It'll take some time before I can get around to fixing it. My workload is a bit high at the moment with my ChatGPT repos.
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RayZ3R0
commented on May 21, 2024
It's alright, take your time 😅
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RayZ3R0
commented on May 21, 2024
Ello?
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acheong08
commented on May 21, 2024
The error seems to be the same as AUTOMATIC1111/stable-diffusion-webui#5745
I still haven't found a solution yet because everything looks to be working but the size being applied is wrong
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RayZ3R0
commented on May 21, 2024
oh
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RayZ3R0
commented on May 21, 2024
Could it be an issue with the dreambooth model? I'll try to remake the model then
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clemecleme
commented on May 21, 2024
Hi! I got the same issue here. Did one of you found any solution?
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RayZ3R0
commented on May 21, 2024
nope, not working still
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acheong08
commented on May 21, 2024
Is it only with 2.1 models?
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RayZ3R0
commented on May 21, 2024
Yeah so far
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acheong08
commented on May 21, 2024
They might have different number of weights to 2.0 models. I'm not sure what config they use.
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acheong08
commented on May 21, 2024
I'll make a bug report on @AUTOMATIC1111 's repo
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acheong08
commented on May 21, 2024
Looking at this line:
size mismatch for model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([320, 768]) from checkpoint, the shape in current model is torch.Size([320, 1024]).It seems that you are not using a 768 model
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RayZ3R0
commented on May 21, 2024
That's weird, Im pretty sure I used a 768 model
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RayZ3R0
commented on May 21, 2024
I'll try with the 512 option then and see if it works
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acheong08
commented on May 21, 2024
@RayZ3R0 It is not a 2.1 model
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acheong08
commented on May 21, 2024
It worked for me without any config. (Or maybe it is compatible with 1.5)
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acheong08
commented on May 21, 2024
Looking at your config: https://huggingface.co/Z3R069/sick/blob/main/unet/config.json
{
"_class_name": "UNet2DConditionModel",
"_diffusers_version": "0.9.0.dev0",
"_name_or_path": "/content/stable-diffusion-v1-5",
"act_fn": "silu",
"attention_head_dim": 8,
"block_out_channels": [
320,
640,
1280,
1280
],
"center_input_sample": false,
"cross_attention_dim": 768,
"down_block_types": [
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"DownBlock2D"
],
"downsample_padding": 1,
"dual_cross_attention": false,
"flip_sin_to_cos": true,
"freq_shift": 0,
"in_channels": 4,
"layers_per_block": 2,
"mid_block_scale_factor": 1,
"norm_eps": 1e-05,
"norm_num_groups": 32,
"num_class_embeds": null,
"only_cross_attention": false,
"out_channels": 4,
"sample_size": 64,
"up_block_types": [
"UpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D"
],
"use_linear_projection": false
}It is 1.5 based
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acheong08
commented on May 21, 2024
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RayZ3R0
commented on May 21, 2024
that's really weird, I definitely selected the 2.1 768px model in the dreambooth colab. But thanks!
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acheong08
commented on May 21, 2024
Seems to be a bug with @TheLastBen. You should open up an issue there
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RayZ3R0
commented on May 21, 2024
Alright, thanks
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CJohnDesign
commented on May 21, 2024
I'm getting the error running locally
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acheong08
commented on May 21, 2024
Are you running the notebook locally or https://github.com/AUTOMATIC1111/stable-diffusion-webui?
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acheong08
commented on May 21, 2024
I'm getting the error running locally
Depending on the model you're using, you need to choose the right inference configuration.
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CJohnDesign
commented on May 21, 2024
This fixed it for me: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon#existing-install
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