Upload folder using huggingface_hub
Browse files- model_index.json +2 -2
- scheduler/scheduler_config.json +1 -1
- text_encoder/config.json +2 -2
- text_encoder_2/config.json +2 -2
- unet/config.json +2 -2
- vae/config.json +3 -2
model_index.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"_class_name": "StableDiffusionXLPipeline",
|
| 3 |
-
"_diffusers_version": "0.
|
| 4 |
-
"_name_or_path": "
|
| 5 |
"feature_extractor": [
|
| 6 |
null,
|
| 7 |
null
|
|
|
|
| 1 |
{
|
| 2 |
"_class_name": "StableDiffusionXLPipeline",
|
| 3 |
+
"_diffusers_version": "0.30.1",
|
| 4 |
+
"_name_or_path": "RobertML/edge-sc2",
|
| 5 |
"feature_extractor": [
|
| 6 |
null,
|
| 7 |
null
|
scheduler/scheduler_config.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"_class_name": "EulerDiscreteScheduler",
|
| 3 |
-
"_diffusers_version": "0.
|
| 4 |
"beta_end": 0.012,
|
| 5 |
"beta_schedule": "scaled_linear",
|
| 6 |
"beta_start": 0.00085,
|
|
|
|
| 1 |
{
|
| 2 |
"_class_name": "EulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.30.1",
|
| 4 |
"beta_end": 0.012,
|
| 5 |
"beta_schedule": "scaled_linear",
|
| 6 |
"beta_start": 0.00085,
|
text_encoder/config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "model-cache/models--
|
| 3 |
"architectures": [
|
| 4 |
"CLIPTextModel"
|
| 5 |
],
|
|
@@ -20,6 +20,6 @@
|
|
| 20 |
"pad_token_id": 1,
|
| 21 |
"projection_dim": 768,
|
| 22 |
"torch_dtype": "float16",
|
| 23 |
-
"transformers_version": "4.
|
| 24 |
"vocab_size": 49408
|
| 25 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "model-cache/models--RobertML--edge-sc2/snapshots/c04007685cee04218c1769a44f1c3c063e7ee070/text_encoder",
|
| 3 |
"architectures": [
|
| 4 |
"CLIPTextModel"
|
| 5 |
],
|
|
|
|
| 20 |
"pad_token_id": 1,
|
| 21 |
"projection_dim": 768,
|
| 22 |
"torch_dtype": "float16",
|
| 23 |
+
"transformers_version": "4.44.2",
|
| 24 |
"vocab_size": 49408
|
| 25 |
}
|
text_encoder_2/config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "model-cache/models--
|
| 3 |
"architectures": [
|
| 4 |
"CLIPTextModelWithProjection"
|
| 5 |
],
|
|
@@ -20,6 +20,6 @@
|
|
| 20 |
"pad_token_id": 1,
|
| 21 |
"projection_dim": 1280,
|
| 22 |
"torch_dtype": "float16",
|
| 23 |
-
"transformers_version": "4.
|
| 24 |
"vocab_size": 49408
|
| 25 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "model-cache/models--RobertML--edge-sc2/snapshots/c04007685cee04218c1769a44f1c3c063e7ee070/text_encoder_2",
|
| 3 |
"architectures": [
|
| 4 |
"CLIPTextModelWithProjection"
|
| 5 |
],
|
|
|
|
| 20 |
"pad_token_id": 1,
|
| 21 |
"projection_dim": 1280,
|
| 22 |
"torch_dtype": "float16",
|
| 23 |
+
"transformers_version": "4.44.2",
|
| 24 |
"vocab_size": 49408
|
| 25 |
}
|
unet/config.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"_class_name": "UNet2DConditionModel",
|
| 3 |
-
"_diffusers_version": "0.
|
| 4 |
-
"_name_or_path": "model-cache/models--
|
| 5 |
"act_fn": "silu",
|
| 6 |
"addition_embed_type": "text_time",
|
| 7 |
"addition_embed_type_num_heads": 64,
|
|
|
|
| 1 |
{
|
| 2 |
"_class_name": "UNet2DConditionModel",
|
| 3 |
+
"_diffusers_version": "0.30.1",
|
| 4 |
+
"_name_or_path": "model-cache/models--RobertML--edge-sc2/snapshots/c04007685cee04218c1769a44f1c3c063e7ee070/unet",
|
| 5 |
"act_fn": "silu",
|
| 6 |
"addition_embed_type": "text_time",
|
| 7 |
"addition_embed_type_num_heads": 64,
|
vae/config.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"_class_name": "AutoencoderKL",
|
| 3 |
-
"_diffusers_version": "0.
|
| 4 |
-
"_name_or_path": "model-cache/models--
|
| 5 |
"act_fn": "silu",
|
| 6 |
"block_out_channels": [
|
| 7 |
128,
|
|
@@ -21,6 +21,7 @@
|
|
| 21 |
"latents_mean": null,
|
| 22 |
"latents_std": null,
|
| 23 |
"layers_per_block": 2,
|
|
|
|
| 24 |
"norm_num_groups": 32,
|
| 25 |
"out_channels": 3,
|
| 26 |
"sample_size": 1024,
|
|
|
|
| 1 |
{
|
| 2 |
"_class_name": "AutoencoderKL",
|
| 3 |
+
"_diffusers_version": "0.30.1",
|
| 4 |
+
"_name_or_path": "model-cache/models--RobertML--edge-sc2/snapshots/c04007685cee04218c1769a44f1c3c063e7ee070/vae",
|
| 5 |
"act_fn": "silu",
|
| 6 |
"block_out_channels": [
|
| 7 |
128,
|
|
|
|
| 21 |
"latents_mean": null,
|
| 22 |
"latents_std": null,
|
| 23 |
"layers_per_block": 2,
|
| 24 |
+
"mid_block_add_attention": true,
|
| 25 |
"norm_num_groups": 32,
|
| 26 |
"out_channels": 3,
|
| 27 |
"sample_size": 1024,
|