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initial SD3 support

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AUTOMATIC1111
2024-06-16 08:04:31 +03:00
parent a7116aa9a1
commit 5b2a60b8e2
14 changed files with 333 additions and 44 deletions
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7
modules/sd_models_config.py
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@@ -23,6 +23,8 @@ config_inpainting = os.path.join(sd_configs_path, "v1-inpainting-inference.yaml"
config_instruct_pix2pix = os.path.join(sd_configs_path, "instruct-pix2pix.yaml")
config_alt_diffusion = os.path.join(sd_configs_path, "alt-diffusion-inference.yaml")
config_alt_diffusion_m18 = os.path.join(sd_configs_path, "alt-diffusion-m18-inference.yaml")
config_sd3 = os.path.join(sd_configs_path, "sd3-inference.yaml")
def is_using_v_parameterization_for_sd2(state_dict):
"""
@@ -71,11 +73,15 @@ def guess_model_config_from_state_dict(sd, filename):
diffusion_model_input = sd.get('model.diffusion_model.input_blocks.0.0.weight', None)
sd2_variations_weight = sd.get('embedder.model.ln_final.weight', None)
if "model.diffusion_model.x_embedder.proj.weight" in sd:
return config_sd3
if sd.get('conditioner.embedders.1.model.ln_final.weight', None) is not None:
if diffusion_model_input.shape[1] == 9:
return config_sdxl_inpainting
else:
return config_sdxl
if sd.get('conditioner.embedders.0.model.ln_final.weight', None) is not None:
return config_sdxl_refiner
elif sd.get('depth_model.model.pretrained.act_postprocess3.0.project.0.bias', None) is not None:
@@ -99,7 +105,6 @@ def guess_model_config_from_state_dict(sd, filename):
if diffusion_model_input.shape[1] == 8:
return config_instruct_pix2pix
if sd.get('cond_stage_model.roberta.embeddings.word_embeddings.weight', None) is not None:
if sd.get('cond_stage_model.transformation.weight').size()[0] == 1024:
return config_alt_diffusion_m18