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Add support for clip g vision model to CLIPVisionLoader.

This commit is contained in:
comfyanonymous 2023-08-18 11:13:29 -04:00
parent fc99fa56a9
commit 76d53c4622
2 changed files with 28 additions and 3 deletions
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11
comfy/clip_vision.py
View File

@ -50,18 +50,22 @@ def convert_to_transformers(sd, prefix):
if "{}proj".format(prefix) in sd_k:
sd['visual_projection.weight'] = sd.pop("{}proj".format(prefix)).transpose(0, 1)
sd = transformers_convert(sd, prefix, "vision_model.", 32)
sd = transformers_convert(sd, prefix, "vision_model.", 48)
return sd
def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
if convert_keys:
sd = convert_to_transformers(sd, prefix)
if "vision_model.encoder.layers.30.layer_norm1.weight" in sd:
if "vision_model.encoder.layers.47.layer_norm1.weight" in sd:
json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_g.json")
elif "vision_model.encoder.layers.30.layer_norm1.weight" in sd:
json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_h.json")
else:
json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl.json")
clip = ClipVisionModel(json_config)
m, u = clip.load_sd(sd)
if len(m) > 0:
print("missing clip vision:", m)
u = set(u)
keys = list(sd.keys())
for k in keys:
@ -72,4 +76,7 @@ def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
def load(ckpt_path):
sd = load_torch_file(ckpt_path)
if "visual.transformer.resblocks.0.attn.in_proj_weight" in sd:
return load_clipvision_from_sd(sd, prefix="visual.", convert_keys=True)
else:
return load_clipvision_from_sd(sd)

18
comfy/clip_vision_config_g.json Normal file
View File

@ -0,0 +1,18 @@
{
"attention_dropout": 0.0,
"dropout": 0.0,
"hidden_act": "gelu",
"hidden_size": 1664,
"image_size": 224,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 8192,
"layer_norm_eps": 1e-05,
"model_type": "clip_vision_model",
"num_attention_heads": 16,
"num_channels": 3,
"num_hidden_layers": 48,
"patch_size": 14,
"projection_dim": 1280,
"torch_dtype": "float32"
}