Foreign-Mirrors/Fooocus
1
0
Fork 0
mirror of https://github.com/lllyasviel/Fooocus.git synced 2026-08-16 13:13:16 +02:00
Code Issues Packages Projects Releases Wiki Activity

Fooocus GitHub Bot Commit

Browse Source 
This commit is generated by a GitHub bot of Fooocus
This commit is contained in:
lllyasviel
2023-10-28 14:49:18 -07:00
parent 3445c0d7d1
commit 56c8a342ec
11 changed files with 234 additions and 130 deletions
Download Patch File Download Diff File Expand all files Collapse all files
backend/headless/fcbh/supported_models.py
+22 -5
View File
@@ -38,8 +38,15 @@ class SD15(supported_models_base.BASE):
if ids.dtype == torch.float32:
state_dict['cond_stage_model.transformer.text_model.embeddings.position_ids'] = ids.round()
replace_prefix = {}
replace_prefix["cond_stage_model."] = "cond_stage_model.clip_l."
state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix)
return state_dict
def process_clip_state_dict_for_saving(self, state_dict):
replace_prefix = {"clip_l.": "cond_stage_model."}
return utils.state_dict_prefix_replace(state_dict, replace_prefix)
def clip_target(self):
return supported_models_base.ClipTarget(sd1_clip.SD1Tokenizer, sd1_clip.SD1ClipModel)
@@ -62,12 +69,12 @@ class SD20(supported_models_base.BASE):
return model_base.ModelType.EPS
def process_clip_state_dict(self, state_dict):
state_dict = utils.transformers_convert(state_dict, "cond_stage_model.model.", "cond_stage_model.transformer.text_model.", 24)
state_dict = utils.transformers_convert(state_dict, "cond_stage_model.model.", "cond_stage_model.clip_h.transformer.text_model.", 24)
return state_dict
def process_clip_state_dict_for_saving(self, state_dict):
replace_prefix = {}
replace_prefix[""] = "cond_stage_model.model."
replace_prefix["clip_h"] = "cond_stage_model.model"
state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix)
state_dict = diffusers_convert.convert_text_enc_state_dict_v20(state_dict)
return state_dict
@@ -104,7 +111,7 @@ class SDXLRefiner(supported_models_base.BASE):
"use_linear_in_transformer": True,
"context_dim": 1280,
"adm_in_channels": 2560,
"transformer_depth": [0, 4, 4, 0],
"transformer_depth": [0, 0, 4, 4, 4, 4, 0, 0],
}
latent_format = latent_formats.SDXL
@@ -139,7 +146,7 @@ class SDXL(supported_models_base.BASE):
unet_config = {
"model_channels": 320,
"use_linear_in_transformer": True,
"transformer_depth": [0, 2, 10],
"transformer_depth": [0, 0, 2, 2, 10, 10],
"context_dim": 2048,
"adm_in_channels": 2816
}
@@ -165,6 +172,7 @@ class SDXL(supported_models_base.BASE):
replace_prefix["conditioner.embedders.0.transformer.text_model"] = "cond_stage_model.clip_l.transformer.text_model"
state_dict = utils.transformers_convert(state_dict, "conditioner.embedders.1.model.", "cond_stage_model.clip_g.transformer.text_model.", 32)
keys_to_replace["conditioner.embedders.1.model.text_projection"] = "cond_stage_model.clip_g.text_projection"
keys_to_replace["conditioner.embedders.1.model.text_projection.weight"] = "cond_stage_model.clip_g.text_projection"
keys_to_replace["conditioner.embedders.1.model.logit_scale"] = "cond_stage_model.clip_g.logit_scale"
state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix)
@@ -189,5 +197,14 @@ class SDXL(supported_models_base.BASE):
def clip_target(self):
return supported_models_base.ClipTarget(sdxl_clip.SDXLTokenizer, sdxl_clip.SDXLClipModel)
class SSD1B(SDXL):
unet_config = {
"model_channels": 320,
"use_linear_in_transformer": True,
"transformer_depth": [0, 0, 2, 2, 4, 4],
"context_dim": 2048,
"adm_in_channels": 2816
}
models = [SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL]
models = [SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B]