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feat: support download of huggingface files from a mirror website (#2637)

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* fix: load image number from preset (#2611)

* fix: add default_image_number to preset handling

* fix: use minimum image number of preset and config to prevent UI overflow

* fix: use correct base dimensions for outpaint mask padding (#2612)

* fix: add Civitai compatibility for LoRAs in a1111 metadata scheme by switching schema (#2615)

* feat: update sha256 generation functions

https://github.com/lllyasviel/stable-diffusion-webui-forge/blob/29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7/modules/hashes.py

* feat: add compatibility for LoRAs in a1111 metadata scheme

* feat: add backwards compatibility

* refactor: extract remove_special_loras

* fix: correctly apply LoRA weight for legacy schema

* docs: bump version number to 2.3.1, add changelog (#2616)

* feat:support download huggingface files from a  mirror site

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
This commit is contained in:
delta_lt_0
2024-04-06 15:25:19 +02:00
committed by GitHub
co-authored by Manuel Schmid
parent 978267f461
commit 5ada070d88
11 changed files with 101 additions and 26 deletions
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modules/async_worker.py
+4 -4
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@@ -614,12 +614,12 @@ def worker():
H, W, C = inpaint_image.shape
if 'left' in outpaint_selections:
inpaint_image = np.pad(inpaint_image, [[0, 0], [int(H * 0.3), 0], [0, 0]], mode='edge')
inpaint_mask = np.pad(inpaint_mask, [[0, 0], [int(H * 0.3), 0]], mode='constant',
inpaint_image = np.pad(inpaint_image, [[0, 0], [int(W * 0.3), 0], [0, 0]], mode='edge')
inpaint_mask = np.pad(inpaint_mask, [[0, 0], [int(W * 0.3), 0]], mode='constant',
constant_values=255)
if 'right' in outpaint_selections:
inpaint_image = np.pad(inpaint_image, [[0, 0], [0, int(H * 0.3)], [0, 0]], mode='edge')
inpaint_mask = np.pad(inpaint_mask, [[0, 0], [0, int(H * 0.3)]], mode='constant',
inpaint_image = np.pad(inpaint_image, [[0, 0], [0, int(W * 0.3)], [0, 0]], mode='edge')
inpaint_mask = np.pad(inpaint_mask, [[0, 0], [0, int(W * 0.3)]], mode='constant',
constant_values=255)
inpaint_image = np.ascontiguousarray(inpaint_image.copy())