vinesmsuic
commited on
Commit
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Parent(s):
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first upload
Browse files- README.md +64 -0
- feature_extractor/preprocessor_config.json +20 -0
- model_index.json +32 -0
- safety_checker/config.json +179 -0
- safety_checker/pytorch_model.bin +3 -0
- scheduler/scheduler_config.json +12 -0
- text_encoder/config.json +25 -0
- text_encoder/pytorch_model.bin +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +34 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +38 -0
- unet/diffusion_pytorch_model.bin +3 -0
- vae/config.json +30 -0
- vae/diffusion_pytorch_model.bin +3 -0
README.md
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---
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license: creativeml-openrail-m
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---
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---
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language:
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- en
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: true
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---
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# BG-VisualNovel-v03
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A prototype project of generating Visual Novel backgrounds for game developers/artists. This model is intended to produce visual novel backgrounds with just a few prompts. Version 3 is based on Anything-V3.
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## 🧨 Diffusers
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This model can be used just like any other Stable Diffusion model. For more information,
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please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
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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]().
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```python
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from diffusers import StableDiffusionPipeline
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import torch
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model_id = "vinesmsuic/bg-visualnovel-v03"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "a classroom"
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image = pipe(prompt).images[0]
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image.save("./classroom.png")
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prompt = "a hospital building, two trees"
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image = pipe(prompt).images[0]
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image.save("./hospital.png")
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prompt = "a street at night with nobody around"
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image = pipe(prompt).images[0]
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image.save("./nightstreet.png")
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```
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## Examples
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a classroom
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a hospital building, two trees
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a street at night with nobody around
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## License
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
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The CreativeML OpenRAIL License specifies:
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1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
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2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
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3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
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[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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feature_extractor/preprocessor_config.json
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{
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"crop_size": 224,
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "CLIPFeatureExtractor",
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"size": 224
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}
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model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.8.1",
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"feature_extractor": [
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"transformers",
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"CLIPFeatureExtractor"
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],
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"safety_checker": [
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"stable_diffusion",
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"StableDiffusionSafetyChecker"
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],
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"scheduler": [
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"diffusers",
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"PNDMScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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safety_checker/config.json
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{
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"_commit_hash": "cb41f3a270d63d454d385fc2e4f571c487c253c5",
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"_name_or_path": "CompVis/stable-diffusion-safety-checker",
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"architectures": [
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"StableDiffusionSafetyChecker"
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],
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"initializer_factor": 1.0,
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"logit_scale_init_value": 2.6592,
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"model_type": "clip",
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"projection_dim": 768,
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"text_config": {
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"hidden_act": "quick_gelu",
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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}
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}
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safety_checker/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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size 1216067303
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scheduler/scheduler_config.json
ADDED
@@ -0,0 +1,12 @@
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|
1 |
+
{
|
2 |
+
"_class_name": "PNDMScheduler",
|
3 |
+
"_diffusers_version": "0.8.1",
|
4 |
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"beta_end": 0.012,
|
5 |
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"beta_schedule": "scaled_linear",
|
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"beta_start": 0.00085,
|
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"num_train_timesteps": 1000,
|
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"set_alpha_to_one": false,
|
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|
10 |
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"steps_offset": 1,
|
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"trained_betas": null
|
12 |
+
}
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text_encoder/config.json
ADDED
@@ -0,0 +1,25 @@
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|
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|
1 |
+
{
|
2 |
+
"_name_or_path": "anything-v3.0",
|
3 |
+
"architectures": [
|
4 |
+
"CLIPTextModel"
|
5 |
+
],
|
6 |
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"attention_dropout": 0.0,
|
7 |
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"bos_token_id": 0,
|
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"dropout": 0.0,
|
9 |
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"eos_token_id": 2,
|
10 |
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"hidden_act": "quick_gelu",
|
11 |
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"hidden_size": 768,
|
12 |
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"initializer_factor": 1.0,
|
13 |
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"initializer_range": 0.02,
|
14 |
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"intermediate_size": 3072,
|
15 |
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"layer_norm_eps": 1e-05,
|
16 |
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"max_position_embeddings": 77,
|
17 |
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"model_type": "clip_text_model",
|
18 |
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"num_attention_heads": 12,
|
19 |
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"num_hidden_layers": 12,
|
20 |
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"pad_token_id": 1,
|
21 |
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"projection_dim": 768,
|
22 |
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"torch_dtype": "float32",
|
23 |
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"transformers_version": "4.24.0",
|
24 |
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"vocab_size": 49408
|
25 |
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}
|
text_encoder/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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size 492308087
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tokenizer/merges.txt
ADDED
The diff for this file is too large to render.
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|
tokenizer/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
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|
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|
1 |
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{
|
2 |
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"bos_token": {
|
3 |
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"content": "<|startoftext|>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": true,
|
6 |
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"rstrip": false,
|
7 |
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"single_word": false
|
8 |
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},
|
9 |
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"eos_token": {
|
10 |
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"content": "<|endoftext|>",
|
11 |
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"lstrip": false,
|
12 |
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"normalized": true,
|
13 |
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"rstrip": false,
|
14 |
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"single_word": false
|
15 |
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},
|
16 |
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"pad_token": "<|endoftext|>",
|
17 |
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"unk_token": {
|
18 |
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"content": "<|endoftext|>",
|
19 |
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"lstrip": false,
|
20 |
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"normalized": true,
|
21 |
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"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer/tokenizer_config.json
ADDED
@@ -0,0 +1,34 @@
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|
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|
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|
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|
1 |
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{
|
2 |
+
"add_prefix_space": false,
|
3 |
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"bos_token": {
|
4 |
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"__type": "AddedToken",
|
5 |
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"content": "<|startoftext|>",
|
6 |
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"lstrip": false,
|
7 |
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"normalized": true,
|
8 |
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"rstrip": false,
|
9 |
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"single_word": false
|
10 |
+
},
|
11 |
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"do_lower_case": true,
|
12 |
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"eos_token": {
|
13 |
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"__type": "AddedToken",
|
14 |
+
"content": "<|endoftext|>",
|
15 |
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"lstrip": false,
|
16 |
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"normalized": true,
|
17 |
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"rstrip": false,
|
18 |
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"single_word": false
|
19 |
+
},
|
20 |
+
"errors": "replace",
|
21 |
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"model_max_length": 77,
|
22 |
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"name_or_path": "anything-v3.0",
|
23 |
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"pad_token": "<|endoftext|>",
|
24 |
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"special_tokens_map_file": "./special_tokens_map.json",
|
25 |
+
"tokenizer_class": "CLIPTokenizer",
|
26 |
+
"unk_token": {
|
27 |
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"__type": "AddedToken",
|
28 |
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"content": "<|endoftext|>",
|
29 |
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"lstrip": false,
|
30 |
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"normalized": true,
|
31 |
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"rstrip": false,
|
32 |
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"single_word": false
|
33 |
+
}
|
34 |
+
}
|
tokenizer/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
unet/config.json
ADDED
@@ -0,0 +1,38 @@
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|
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|
1 |
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{
|
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"_class_name": "UNet2DConditionModel",
|
3 |
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"_diffusers_version": "0.8.1",
|
4 |
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"_name_or_path": "anything-v3.0",
|
5 |
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"act_fn": "silu",
|
6 |
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"attention_head_dim": 8,
|
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"block_out_channels": [
|
8 |
+
320,
|
9 |
+
640,
|
10 |
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1280,
|
11 |
+
1280
|
12 |
+
],
|
13 |
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"center_input_sample": false,
|
14 |
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"cross_attention_dim": 768,
|
15 |
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"down_block_types": [
|
16 |
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"CrossAttnDownBlock2D",
|
17 |
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"CrossAttnDownBlock2D",
|
18 |
+
"CrossAttnDownBlock2D",
|
19 |
+
"DownBlock2D"
|
20 |
+
],
|
21 |
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"downsample_padding": 1,
|
22 |
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"dual_cross_attention": false,
|
23 |
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"flip_sin_to_cos": true,
|
24 |
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"freq_shift": 0,
|
25 |
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"in_channels": 4,
|
26 |
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"layers_per_block": 2,
|
27 |
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"mid_block_scale_factor": 1,
|
28 |
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"norm_eps": 1e-05,
|
29 |
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"norm_num_groups": 32,
|
30 |
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"out_channels": 4,
|
31 |
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"sample_size": 32,
|
32 |
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"up_block_types": [
|
33 |
+
"UpBlock2D",
|
34 |
+
"CrossAttnUpBlock2D",
|
35 |
+
"CrossAttnUpBlock2D",
|
36 |
+
"CrossAttnUpBlock2D"
|
37 |
+
]
|
38 |
+
}
|
unet/diffusion_pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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size 3438364325
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vae/config.json
ADDED
@@ -0,0 +1,30 @@
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|
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|
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{
|
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"_class_name": "AutoencoderKL",
|
3 |
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"_diffusers_version": "0.8.1",
|
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"_name_or_path": "anything-v3.0",
|
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"act_fn": "silu",
|
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"block_out_channels": [
|
7 |
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128,
|
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|
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512,
|
10 |
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512
|
11 |
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],
|
12 |
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"down_block_types": [
|
13 |
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"DownEncoderBlock2D",
|
14 |
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"DownEncoderBlock2D",
|
15 |
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"DownEncoderBlock2D",
|
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"DownEncoderBlock2D"
|
17 |
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],
|
18 |
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"in_channels": 3,
|
19 |
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"latent_channels": 4,
|
20 |
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"layers_per_block": 2,
|
21 |
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|
22 |
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|
23 |
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|
24 |
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"up_block_types": [
|
25 |
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"UpDecoderBlock2D",
|
26 |
+
"UpDecoderBlock2D",
|
27 |
+
"UpDecoderBlock2D",
|
28 |
+
"UpDecoderBlock2D"
|
29 |
+
]
|
30 |
+
}
|
vae/diffusion_pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 334710673
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