Add safetensors

.gitattributes

@@ -36,3 +36,4 @@ v2-1-0.ckpt filter=lfs diff=lfs merge=lfs -text
 text_encoder/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
 unet/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
 vae/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
+v2-1-0.safetensors filter=lfs diff=lfs merge=lfs -text

README.md

@@ -3,15 +3,6 @@ license: other
 tags:
   - stable-diffusion
   - text-to-image
-widget:
-- text: "anime, ilya, a portrait of a girl with black short hair and red eyes, kimono, from front side, full color illustration, official art, good anatomy, 4k, detailed"
-  example_title: "Girl (Anime)"
-- text: "manga, monochrome, black and white manga, shojo manga, a portrait of a girl with black short hair and white eyes, school uniform, from front side, good anatomy, 4k, detailed"
-  example_title: "Girl (Manga)"
-- text: "anime, shinkai, buildings in Tokyo, 4k, 8k, highly detailed"
-  example_title: "Bldgs. (Anime)"
-- text: "manga, black and white manga, monochrome, buildings in Tokyo, 4k, 8k, highly detailed"
-  example_title: "Bldgs. (Manga)"
 ---
 
 # Cool Japan Diffusion 2.1.0 Model Card
@@ -47,8 +38,7 @@ Cool Japan Diffusion (for learning) はStable Diffsionをファインチュー
 したがって、法的な側面ではなく、倫理的な側面を調査する目的も本配布は兼ねていると考えてください。
 
 # 使い方
-手軽に楽しみたい方は、パソコンならば右上側にあるテキストフォームに入れて生成してみてください。
-スマートフォンならば、上に戻って生成してみてください。
+手軽に楽しみたい方は、こちらの[Space](https://huggingface.co/spaces/alfredplpl/cool-japan-diffusion-2-1-0)をお使いください。
 詳しい本モデルの取り扱い方は[こちらの取扱説明書](https://alfredplpl.hatenablog.com/entry/2022/12/30/102636)にかかれています。
 モデルは[ここ](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-0/resolve/main/v2-1-0.ckpt)からダウンロードできます。
 

README_en.md

@@ -1,5 +1,19 @@
 # Cool Japan Diffusion 2.1.0 Model Card
 
+![アイキャッチ](eyecatch.jpg)
+
 # Introduction
+Cool Japan Diffusion (for learning) is the latent diffusion model created from Stable Diffsion.
+Cool Japan Diffusion is suitable for genetrating Cool Japan images such as Anime, Manga, and Game.
 
 # Legal and ethical information
+We create this model legally.
+However, we think that this model have ethical problems.
+Therefore, we cannot use the model for commercially except for news reporting.
+
+TBA.
+
+# Usage
+You can try the model by our [Space](https://huggingface.co/spaces/alfredplpl/cool-japan-diffusion-2-1-0).
+I recommend to use the model by Web UI.
+You can download the model [here](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-0/resolve/main/v2-1-0.ckpt).

model_index.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.11.1",
+  "_diffusers_version": "0.11.0.dev0",
   "feature_extractor": [
     null,
     null

scheduler/scheduler_config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "PNDMScheduler",
-  "_diffusers_version": "0.11.1",
+  "_diffusers_version": "0.11.0.dev0",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,

text_encoder/config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "stabilityai/stable-diffusion-2-1-base",
+  "_name_or_path": "stabilityai/stable-diffusion-2",
   "architectures": [
     "CLIPTextModel"
   ],
@@ -20,6 +20,6 @@
   "pad_token_id": 1,
   "projection_dim": 512,
   "torch_dtype": "float32",
-  "transformers_version": "4.25.1",
+  "transformers_version": "4.26.0.dev0",
   "vocab_size": 49408
 }

tokenizer/tokenizer_config.json

@@ -19,7 +19,7 @@
   },
   "errors": "replace",
   "model_max_length": 77,
-  "name_or_path": "stabilityai/stable-diffusion-2-1-base",
+  "name_or_path": "stabilityai/stable-diffusion-2",
   "pad_token": "<|endoftext|>",
   "special_tokens_map_file": "./special_tokens_map.json",
   "tokenizer_class": "CLIPTokenizer",

unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.11.1",
+  "_diffusers_version": "0.11.0.dev0",
   "act_fn": "silu",
   "attention_head_dim": [
     5,
@@ -15,7 +15,6 @@
     1280
   ],
   "center_input_sample": false,
-  "class_embed_type": null,
   "cross_attention_dim": 1024,
   "down_block_types": [
     "CrossAttnDownBlock2D",
@@ -30,13 +29,11 @@
   "in_channels": 4,
   "layers_per_block": 2,
   "mid_block_scale_factor": 1,
-  "mid_block_type": "UNetMidBlock2DCrossAttn",
   "norm_eps": 1e-05,
   "norm_num_groups": 32,
   "num_class_embeds": null,
   "only_cross_attention": false,
   "out_channels": 4,
-  "resnet_time_scale_shift": "default",
   "sample_size": 64,
   "up_block_types": [
     "UpBlock2D",

unet/diffusion_pytorch_model.bin

@@ -1,3 +0,0 @@
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-size 3463913445

text_encoder/pytorch_model.bin → v2-1-0.safetensors

@@ -1,3 +1,3 @@
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+size 5214604281

vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.11.1",
+  "_diffusers_version": "0.11.0.dev0",
   "act_fn": "silu",
   "block_out_channels": [
     128,

vae/diffusion_pytorch_model.bin

@@ -1,3 +0,0 @@
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