Safetensor versions

D&Diffusion3.0_Protogen.ckpt

@@ -1,3 +0,0 @@
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README.md

@@ -4,9 +4,7 @@ tags:
   - text-to-image
 ---
 
-FOR THE NEW VERSION DOWNLOAD 'D&Diffusion3.0_Protogen.ckpt'
-
-The newest version is finetuned from Protogen to great effect. Also works great at resolutions great than 512x512!
+FOR THE NEW VERSION DOWNLOAD 'DnD_Classes_and_Species.ckpt'
 
 Species in new version: aarakocra, aasimar, air_genasi, centaur, dragonborn, drow, dwarf, earth_genasi, elf, firbolg, fire_genasi, gith, gnome, goblin, goliath, halfling, human, illithid, kenku, kobold, lizardfolk, minotaur, orc, tabaxi, thrikreen, tiefling, tortle, warforged, water_genasi
 Classes in new version: Artificer, Bard, Barbarian, Cleric, Fighter, Druid, Monk, Paladin, Rogue, Ranger, Sorcerer, Warlock, Wizard, Noble, Townsperson
@@ -19,11 +17,6 @@ Model30000 is trained using all of the images as the class images, and I think i
 
 Good prompts to try things out:
 
-modelshoot style, (extremely detailed CG unity 8k wallpaper), full shot body photo of the most beautiful artwork in the world, english medieval pink (dragonborn druid) witch, black silk robe, nature magic, medieval era, painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, trending on CGSociety, Intricate, High Detail, Sharp focus, dramatic, painting art by midjourney and greg rutkowski, teal and gold, petals, countryside, action pose, casting a spell, green swirling magic
-Negative prompt: canvas frame, cartoon, 3d, photorealistic
-Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 10, Seed: 2603924688, Size: 512x768, Batch size: 4, Batch pos: 1, Clip skip: 2
-
-
 `[natural colors], full body tiefling (knight), [watercolor digital 2D painting], (strong shading), hard shadows, blurry, elegant, wearing robes, style of (saga comic) Lois van Baarle and charlie bowater and Sui Ishida, messy, disheveled, thick brushwork, detailed face and eyes, concept art`
 
 `portrait (painting) of tabaxi, de Rivia closeup, suit, collar, formal attire, D&D, fantasy, intricate, elegant, highly detailed, artstation, concept art, matte, sharp focus, (brush strokes), (oil on canvas), hearthstone, art by Titian and Greg Rutkowski and Rembrandt van Rijn and Alphonse Mucha` (inspired by Reddit post) 

feature_extractor/preprocessor_config.json

@@ -1,12 +1,8 @@
 {
-  "crop_size": {
-    "height": 224,
-    "width": 224
-  },
+  "crop_size": 224,
   "do_center_crop": true,
   "do_convert_rgb": true,
   "do_normalize": true,
-  "do_rescale": true,
   "do_resize": true,
   "feature_extractor_type": "CLIPFeatureExtractor",
   "image_mean": [
@@ -14,15 +10,11 @@
     0.4578275,
     0.40821073
   ],
-  "image_processor_type": "CLIPImageProcessor",
   "image_std": [
     0.26862954,
     0.26130258,
     0.27577711
   ],
   "resample": 3,
-  "rescale_factor": 0.00392156862745098,
-  "size": {
-    "shortest_edge": 224
-  }
+  "size": 224
 }

model_index.json

@@ -1,7 +1,14 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.9.0",
-  "requires_safety_checker": false,
+  "_diffusers_version": "0.8.0.dev0",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
   "scheduler": [
     "diffusers",
     "PNDMScheduler"

safety_checker/config.json

@@ -1,5 +1,5 @@
 {
-  "_commit_hash": null,
+  "_commit_hash": "4bb648a606ef040e7685bde262611766a5fdd67b",
   "_name_or_path": "CompVis/stable-diffusion-safety-checker",
   "architectures": [
     "StableDiffusionSafetyChecker"
@@ -62,7 +62,6 @@
     "pad_token_id": 1,
     "prefix": null,
     "problem_type": null,
-    "projection_dim": 512,
     "pruned_heads": {},
     "remove_invalid_values": false,
     "repetition_penalty": 1.0,
@@ -80,7 +79,7 @@
     "top_p": 1.0,
     "torch_dtype": null,
     "torchscript": false,
-    "transformers_version": "4.25.1",
+    "transformers_version": "4.24.0",
     "typical_p": 1.0,
     "use_bfloat16": false,
     "vocab_size": 49408
@@ -91,7 +90,7 @@
     "num_attention_heads": 12,
     "num_hidden_layers": 12
   },
-  "torch_dtype": "float16",
+  "torch_dtype": "float32",
   "transformers_version": null,
   "vision_config": {
     "_name_or_path": "",
@@ -149,7 +148,6 @@
     "patch_size": 14,
     "prefix": null,
     "problem_type": null,
-    "projection_dim": 512,
     "pruned_heads": {},
     "remove_invalid_values": false,
     "repetition_penalty": 1.0,
@@ -167,7 +165,7 @@
     "top_p": 1.0,
     "torch_dtype": null,
     "torchscript": false,
-    "transformers_version": "4.25.1",
+    "transformers_version": "4.24.0",
     "typical_p": 1.0,
     "use_bfloat16": false
   },

safety_checker/model.safetensors

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D&Diffusion3.0_Protogen-fp32.safetensors → safety_checker/pytorch_model.bin

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+size 1216064769

scheduler/scheduler_config.json

@@ -1,9 +1,10 @@
 {
   "_class_name": "PNDMScheduler",
-  "_diffusers_version": "0.9.0",
+  "_diffusers_version": "0.8.0.dev0",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
+  "clip_sample": false,
   "num_train_timesteps": 1000,
   "set_alpha_to_one": false,
   "skip_prk_steps": true,

text_encoder/model.safetensors

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text_encoder/pytorch_model.bin

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unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.9.0",
+  "_diffusers_version": "0.8.0.dev0",
   "act_fn": "silu",
   "attention_head_dim": 8,
   "block_out_channels": [
@@ -18,7 +18,6 @@
     "DownBlock2D"
   ],
   "downsample_padding": 1,
-  "dual_cross_attention": false,
   "flip_sin_to_cos": true,
   "freq_shift": 0,
   "in_channels": 4,
@@ -26,15 +25,12 @@
   "mid_block_scale_factor": 1,
   "norm_eps": 1e-05,
   "norm_num_groups": 32,
-  "num_class_embeds": null,
-  "only_cross_attention": false,
   "out_channels": 4,
-  "sample_size": 64,
+  "sample_size": 32,
   "up_block_types": [
     "UpBlock2D",
     "CrossAttnUpBlock2D",
     "CrossAttnUpBlock2D",
     "CrossAttnUpBlock2D"
-  ],
-  "use_linear_projection": false
+  ]
 }

unet/diffusion_pytorch_model.bin

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unet/diffusion_pytorch_model.safetensors

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vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.9.0",
+  "_diffusers_version": "0.8.0.dev0",
   "act_fn": "silu",
   "block_out_channels": [
     128,

vae/diffusion_pytorch_model.bin

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vae/diffusion_pytorch_model.safetensors

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