OPENGIT/stable-diffusion-webui
1
0
Fork 0
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git synced 2025-03-10 07:54:54 +08:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #13865 from Gothos/master

Browse Source 
Add support for SSD-1B
This commit is contained in:
AUTOMATIC1111 2023-11-05 19:31:44 +03:00 committed by GitHub
commit 96ee3eff6c
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 26 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
CHANGELOG.md
View File

@ -1,3 +1,8 @@
## 1.6.1
### Bug Fixes:
* fix an error causing the webui to fail to start ([#13839](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13839))
## 1.6.0 ## 1.6.0
### Features: ### Features:

12
modules/sd_hijack.py
View File

@ -183,6 +183,18 @@ class StableDiffusionModelHijack:
except Exception as e: except Exception as e:
errors.display(e, "applying cross attention optimization") errors.display(e, "applying cross attention optimization")
undo_optimizations() undo_optimizations()
def conv_ssd(self, m):
delattr(m.model.diffusion_model.middle_block, '1')
delattr(m.model.diffusion_model.middle_block, '2')
for i in ['9','8','7','6','5','4']:
delattr(m.model.diffusion_model.input_blocks[7][1].transformer_blocks,i)
delattr(m.model.diffusion_model.input_blocks[8][1].transformer_blocks,i)
delattr(m.model.diffusion_model.output_blocks[0][1].transformer_blocks,i)
delattr(m.model.diffusion_model.output_blocks[1][1].transformer_blocks,i)
delattr(m.model.diffusion_model.output_blocks[4][1].transformer_blocks,'1')
delattr(m.model.diffusion_model.output_blocks[5][1].transformer_blocks,'1')
devices.torch_gc()
def hijack(self, m): def hijack(self, m):
conditioner = getattr(m, 'conditioner', None) conditioner = getattr(m, 'conditioner', None)

7
modules/sd_models.py
View File

@ -352,10 +352,13 @@ def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer
model.is_sdxl = hasattr(model, 'conditioner') model.is_sdxl = hasattr(model, 'conditioner')
model.is_sd2 = not model.is_sdxl and hasattr(model.cond_stage_model, 'model') model.is_sd2 = not model.is_sdxl and hasattr(model.cond_stage_model, 'model')
model.is_sd1 = not model.is_sdxl and not model.is_sd2 model.is_sd1 = not model.is_sdxl and not model.is_sd2
model.is_ssd = model.is_sdxl and 'model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_q.weight' not in state_dict.keys()
if model.is_sdxl: if model.is_sdxl:
sd_models_xl.extend_sdxl(model) sd_models_xl.extend_sdxl(model)
if model.is_ssd:
sd_hijack.model_hijack.conv_ssd(model)
if shared.opts.sd_checkpoint_cache > 0: if shared.opts.sd_checkpoint_cache > 0:
# cache newly loaded model # cache newly loaded model
checkpoints_loaded[checkpoint_info] = state_dict.copy() checkpoints_loaded[checkpoint_info] = state_dict.copy()

5
modules/sd_models_types.py
View File

@ -22,7 +22,10 @@ class WebuiSdModel(LatentDiffusion):
"""structure with additional information about the file with model's weights""" """structure with additional information about the file with model's weights"""
is_sdxl: bool is_sdxl: bool
"""True if the model's architecture is SDXL""" """True if the model's architecture is SDXL or SSD"""
is_ssd: bool
"""True if the model is SSD"""
is_sd2: bool is_sd2: bool
"""True if the model's architecture is SD 2.x""" """True if the model's architecture is SD 2.x"""