cmdr2
dd95df8f02
Refactor the default model download code, remove check_models.py, don't check in legacy paths since that's already migrated during initialization; Download CodeFormer's model only when it's used for the first time
2023-06-02 16:34:29 +05:30
cmdr2
24d0e7566f
Copy get_config.py in on_sd_start for the first run, when on_env_start hasn't yet been updated
2023-04-26 16:34:27 +05:30
JeLuF
5eec05c0c4
Don't write config.bat and config.sh any more
2023-04-21 00:09:27 +02:00
cmdr2
83c34ea52f
Remove unnecessary hotfix
2023-04-19 16:31:04 +05:30
cmdr2
34ea49147c
Update the check_models.py script during startup
2023-04-19 16:13:29 +05:30
cmdr2
c1e8637a9f
Re-implement the code for downloading models in python. Save some eyeballs from bleeding
2023-04-19 16:11:16 +05:30
cmdr2
80384e6ee1
Install PyTorch 2.0 by default, but allow existing PyTorch 1.13.1 installations to continue running; Unify and streamline the installation of dependencies
2023-04-18 15:42:33 +05:30
cmdr2
0898f98355
Merge branch 'beta' of github.com:cmdr2/stable-diffusion-ui into beta
2023-04-18 15:05:53 +05:30
Diana
e7dc41e271
Automatic AMD GPU detection on Linux ( #1078 )
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* Automatic AMD GPU detection on Linux
Automatically detects AMD GPUs and installs the ROCm version of PyTorch instead of the cuda one
A later improvement may be to detect the GPU ROCm version and handle GPUs that dont work on upstream ROCm, ether because they're too old and need a special patched version, or too new and need `HSA_OVERRIDE_GFX_VERSION=10.3.0` added, possibly check through `rocminfo`?
* Address stdout suppression and download failure
* If any NVIDIA GPU is found, always use it
* Use /proc/bus/pci/devices to detect GPUs
* Fix comparisons
`-eq` and `-ne` only work for numbers
* Add back -q
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Co-authored-by: JeLuF <jf@mormo.org>
2023-04-18 15:02:39 +05:30
cmdr2
0f0f475241
Merge branch 'beta' of github.com:cmdr2/stable-diffusion-ui into beta
2023-04-18 14:44:23 +05:30
cmdr2
127ee68486
Merge pull request #1171 from JeLuF/p0417
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Don't download 1.4 if other models are available
2023-04-18 14:43:45 +05:30
JeLuF
44824fb5f9
Don't download 1.4 if other models are available
2023-04-17 23:22:44 +02:00
cmdr2
f2b5843e6c
merge beta
2023-04-17 15:50:51 +05:30
cmdr2
0c0525e11b
sdkit 1.0.72 - use the extra attn precision yaml code for diffusers, which doesn't auto-detect black images yet
2023-04-17 15:43:08 +05:30
cmdr2
80bcfabc48
Upgrade to PyTorch 2.0; Doesn't use a special repo url for pytorch on Linux
2023-04-14 17:32:27 +05:30
cmdr2
03c8a0fca5
sdkit 1.0.70 - use plms for warming up the model, avoiding any non-deterministic effects from the default ancestral sampler
2023-04-12 15:31:10 +05:30
cmdr2
a3d2c71ed6
sdkit 1.0.69 - allow loading models without vae weights in diffusers
2023-04-11 15:34:44 +05:30
cmdr2
424ec40fa5
sdkit 1.0.68 - fix brainfade
2023-04-11 12:00:03 +05:30
cmdr2
210429a259
sdkit 1.0.67 - detect black-images on model load and use fp32 attention precision or full precision if needed
2023-04-10 17:59:14 +05:30
cmdr2
4cdb8a7d2a
sdkit 1.0.66 - lower VRAM usage for realesrgan upscaling
2023-04-10 16:29:30 +05:30
cmdr2
8a6cf3cfae
Remove redundant hotfix
2023-04-10 15:55:55 +05:30
cmdr2
d7317e8252
sdkit 1.0.65 - upgrade compel to 1.0.5
2023-04-07 15:51:44 +05:30
cmdr2
899125cc41
sdkit 1.0.64 - bug fix - metadata embedding would ignore the jpeg quality
2023-04-05 08:07:53 +05:30
cmdr2
69380e3527
sdkit 1.0.63 - bug fix - samplers wouldn't get created if an inpainting was the first to load
2023-04-03 15:57:52 +05:30
cmdr2
a03164f3bc
Slider to control LoRA strength
2023-04-01 16:08:14 +05:30
cmdr2
4f88939c77
sdkit 1.0.61 - reload a LoRA correctly if reloading the SD model
2023-03-31 16:26:11 +05:30
cmdr2
77246aeab1
sdkit 1.0.60 - lossless webp
2023-03-28 15:42:29 +05:30
cmdr2
27fb8ccd92
Fix DPM solver in diffusers beta
2023-03-27 16:57:55 +05:30
cmdr2
a573e61d36
Fix a bug where some non-square images would fail while inpainting with a 'The size of tensor a must match size of tensor b' error
2023-03-27 16:29:55 +05:30
cmdr2
0730400bc1
Fix the 'incorrect number of channels' error when given PNG images with an alpha channel (test diffusers)
2023-03-27 15:51:09 +05:30
cmdr2
de02435015
Fix inpainting in diffusers beta
2023-03-27 15:10:04 +05:30
cmdr2
55da2988b3
sdkit 1.0.55 - additional debug logging for prompts
2023-03-24 11:51:47 +05:30
cmdr2
d16783d0d1
sdkit upgrade - Use the latest version of compel
2023-03-24 10:15:51 +05:30
cmdr2
114363e22b
sdkit 1.0.53 - long prompt lengths
2023-03-24 09:27:15 +05:30
cmdr2
23e7a6b8b0
sdkit 1.0.52 - Use weighted prompt parsing using the Compel library
2023-03-23 13:10:00 +05:30
cmdr2
f5be941a4a
sdkit 1.0.51 - convert ckpt was missing the new changes that diffusers hasn't merged in yet. bundling it along for now
2023-03-21 18:56:12 +05:30
cmdr2
eabe4cf58c
sdkit 1.0.50 - fix typo
2023-03-21 18:47:25 +05:30
cmdr2
f8bc50871a
sdkit 1.0.49; Use a test_diffusers flag to gate access to the new renderer and LoRA model selection
2023-03-21 17:59:20 +05:30
cmdr2
8aead029a8
temp fix for installations that installed torch 2.0 by mistake
2023-03-17 13:33:13 +05:30
cmdr2
a9da65c2cd
Temp fix for macOS installations that installed torch 2.0 by mistake, when torch 2 released yesterday
2023-03-17 13:27:44 +05:30
cmdr2
0324deec60
Use CUDA-specific torch only on Linux, not mac
2023-03-17 13:20:37 +05:30
cmdr2
28338612fa
Pin versions: torch 1.13.1 and torchvision 0.14.1, and update stable-diffusion-sdkit which also pins the torch and torchvision versions for macOS
2023-03-17 10:07:22 +05:30
cmdr2
5dd92b1d3f
sdkit 1.0.47 - mps buffer fix
2023-03-11 10:40:45 +05:30
cmdr2
7548f7cdbb
revert mps buffer fix
2023-03-11 10:27:57 +05:30
cmdr2
44da3d26f3
sdkit 1.0.45 - fix buffers used for mac mps
2023-03-11 10:24:01 +05:30
cmdr2
737a81570a
Merge pull request #975 from michaelgallacher/beta
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Add support for MPS when running on Apple silicon
2023-03-08 10:00:10 +05:30
cmdr2
32d8f4d24b
sdkit 1.0.44 - mps support for mac
2023-03-08 09:57:45 +05:30
Michael Gallacher
11265c4034
Add support for MPS when running on Apple silicon
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Changes:
* autodetect if MPS is available and the pytorch version has MPS support.
* change logic from "is the device CPU?" to "is the device not CUDA?".
* set PYTORCH_ENABLE_MPS_FALLBACK=1
Known issues:
* Some samplers (eg DDIM) will fail on MPS unless forced to CPU-only mode
2023-03-07 14:57:37 -07:00
cmdr2
5e2f31e3bf
Merge branch 'main' into beta
2023-03-02 10:15:51 +05:30
cmdr2
91c4b5865c
Pin the sdkit version during fresh installs
2023-02-21 10:40:17 +05:30
