Diffusers

README.md

@@ -1,7 +1,5 @@
 ---
 license: creativeml-openrail-m
-tags:
-  - text-to-image
 ---
 # VoxelArt model V1
 This is the fine-tuned Stable Diffusion model trained on Voxel Art images.
@@ -10,25 +8,5 @@ Use **VoxelArt** in your prompts.
 
 ### Sample images:
 ![voxelart.jpg](https://s3.amazonaws.com/moonup/production/uploads/1668056713800-635749860725c2f190a76e88.jpeg)
-Based on StableDiffusion 1.5 model
 
-### 🧨 Diffusers
-
-This model can be used just like any other Stable Diffusion model. For more information,
-please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
-
-You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
-
-```python
-from diffusers import StableDiffusionPipeline
-import torch
-
-model_id = "Fictiverse/Stable_Diffusion_PaperCut_Model"
-pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
-pipe = pipe.to("cuda")
-
-prompt = "PaperCut R2-D2"
-image = pipe(prompt).images[0]
-
-image.save("./R2-D2.png")
-```
+Based on StableDiffusion 1.5 model

VoxelArt_v1.safetensors

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feature_extractor/preprocessor_config.json

@@ -1,20 +0,0 @@
-{
-  "crop_size": 224,
-  "do_center_crop": true,
-  "do_convert_rgb": true,
-  "do_normalize": true,
-  "do_resize": true,
-  "feature_extractor_type": "CLIPFeatureExtractor",
-  "image_mean": [
-    0.48145466,
-    0.4578275,
-    0.40821073
-  ],
-  "image_std": [
-    0.26862954,
-    0.26130258,
-    0.27577711
-  ],
-  "resample": 3,
-  "size": 224
-}

model_index.json

@@ -1,9 +1,9 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.8.0.dev0",
+  "_diffusers_version": "0.6.0",
   "feature_extractor": [
     "transformers",
-    "CLIPImageProcessor"
+    "CLIPFeatureExtractor"
   ],
   "safety_checker": [
     "stable_diffusion",
@@ -29,4 +29,4 @@
     "diffusers",
     "AutoencoderKL"
   ]
-}
+}

safety_checker/config.json

@@ -1,179 +0,0 @@
-{
-  "_commit_hash": "4bb648a606ef040e7685bde262611766a5fdd67b",
-  "_name_or_path": "CompVis/stable-diffusion-safety-checker",
-  "architectures": [
-    "StableDiffusionSafetyChecker"
-  ],
-  "initializer_factor": 1.0,
-  "logit_scale_init_value": 2.6592,
-  "model_type": "clip",
-  "projection_dim": 768,
-  "text_config": {
-    "_name_or_path": "",
-    "add_cross_attention": false,
-    "architectures": null,
-    "attention_dropout": 0.0,
-    "bad_words_ids": null,
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-    "hidden_size": 768,
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-      "0": "LABEL_0",
-      "1": "LABEL_1"
-    },
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-    "initializer_range": 0.02,
-    "intermediate_size": 3072,
-    "is_decoder": false,
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-    "max_position_embeddings": 77,
-    "min_length": 0,
-    "model_type": "clip_text_model",
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-    "num_attention_heads": 12,
-    "num_beam_groups": 1,
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-    "num_hidden_layers": 12,
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-    "vocab_size": 49408
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-      "1": "LABEL_1"
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-    "is_decoder": false,
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-    "num_return_sequences": 1,
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-    "intermediate_size": 4096,
-    "num_attention_heads": 16,
-    "num_hidden_layers": 24,
-    "patch_size": 14
-  }
-}

safety_checker/model.safetensors

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safety_checker/pytorch_model.bin

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scheduler/scheduler_config.json

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-{
-  "_class_name": "PNDMScheduler",
-  "_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,
-  "steps_offset": 1,
-  "trained_betas": null
-}

text_encoder/config.json

@@ -1,25 +0,0 @@
-{
-  "_name_or_path": "openai/clip-vit-large-patch14",
-  "architectures": [
-    "CLIPTextModel"
-  ],
-  "attention_dropout": 0.0,
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-  "model_type": "clip_text_model",
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-  "projection_dim": 768,
-  "torch_dtype": "float32",
-  "transformers_version": "4.24.0",
-  "vocab_size": 49408
-}

text_encoder/model.safetensors

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text_encoder/pytorch_model.bin

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tokenizer/special_tokens_map.json

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-{
-  "bos_token": {
-    "content": "<|startoftext|>",
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tokenizer/tokenizer_config.json

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-{
-  "add_prefix_space": false,
-  "bos_token": {
-    "__type": "AddedToken",
-    "content": "<|startoftext|>",
-    "lstrip": false,
-    "normalized": true,
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unet/config.json

@@ -1,36 +0,0 @@
-{
-  "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.8.0.dev0",
-  "act_fn": "silu",
-  "attention_head_dim": 8,
-  "block_out_channels": [
-    320,
-    640,
-    1280,
-    1280
-  ],
-  "center_input_sample": false,
-  "cross_attention_dim": 768,
-  "down_block_types": [
-    "CrossAttnDownBlock2D",
-    "CrossAttnDownBlock2D",
-    "CrossAttnDownBlock2D",
-    "DownBlock2D"
-  ],
-  "downsample_padding": 1,
-  "flip_sin_to_cos": true,
-  "freq_shift": 0,
-  "in_channels": 4,
-  "layers_per_block": 2,
-  "mid_block_scale_factor": 1,
-  "norm_eps": 1e-05,
-  "norm_num_groups": 32,
-  "out_channels": 4,
-  "sample_size": 64,
-  "up_block_types": [
-    "UpBlock2D",
-    "CrossAttnUpBlock2D",
-    "CrossAttnUpBlock2D",
-    "CrossAttnUpBlock2D"
-  ]
-}

unet/diffusion_pytorch_model.bin

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vae/config.json

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-{
-  "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.8.0.dev0",
-  "act_fn": "silu",
-  "block_out_channels": [
-    128,
-    256,
-    512,
-    512
-  ],
-  "down_block_types": [
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D"
-  ],
-  "in_channels": 3,
-  "latent_channels": 4,
-  "layers_per_block": 2,
-  "norm_num_groups": 32,
-  "out_channels": 3,
-  "sample_size": 256,
-  "scaling_factor": 0.18215,
-  "up_block_types": [
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D"
-  ]
-}

vae/diffusion_pytorch_model.bin

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