adhikjoshi
commited on
Commit
•
3f34905
1
Parent(s):
c4eb27c
converted using stablediffusionapi.com
Browse files- .gitignore +2 -0
- README.md +64 -0
- model_index.json +41 -0
- scheduler/scheduler_config.json +22 -0
- text_encoder/config.json +24 -0
- text_encoder/pytorch_model.bin +3 -0
- text_encoder_2/config.json +24 -0
- text_encoder_2/pytorch_model.bin +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +30 -0
- tokenizer/tokenizer_config.json +30 -0
- tokenizer/vocab.json +0 -0
- tokenizer_2/merges.txt +0 -0
- tokenizer_2/special_tokens_map.json +24 -0
- tokenizer_2/tokenizer_config.json +38 -0
- tokenizer_2/vocab.json +0 -0
- unet/config.json +72 -0
- unet/diffusion_pytorch_model.bin +3 -0
- vae/config.json +31 -0
- vae/diffusion_pytorch_model.bin +3 -0
.gitignore
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step_*
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epoch_*
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README.md
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---
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license: creativeml-openrail-m
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tags:
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- modelslab.com
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- stable-diffusion-api
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- text-to-image
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- ultra-realistic
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pinned: true
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---
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# API Inference
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![generated from modelslab.com](https://cdn2.stablediffusionapi.com/generations/bf190b5a-fe19-437c-ba05-82f29cb1f7ad-0.png)
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## Get API Key
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Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
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Replace Key in below code, change **model_id** to "jn-v9-ph-li-4s"
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Coding in PHP/Node/Java etc? Have a look at docs for more code examples: [View docs](https://modelslab.com/docs)
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Try model for free: [Generate Images](https://modelslab.com/models/jn-v9-ph-li-4s)
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Model link: [View model](https://modelslab.com/models/jn-v9-ph-li-4s)
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View all models: [View Models](https://modelslab.com/models)
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import requests
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import json
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url = "https://modelslab.com/api/v6/images/text2img"
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payload = json.dumps({
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"key": "your_api_key",
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"model_id": "jn-v9-ph-li-4s",
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"prompt": "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K",
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"negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",
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"width": "512",
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"height": "512",
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"samples": "1",
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"num_inference_steps": "30",
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"safety_checker": "no",
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"enhance_prompt": "yes",
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"seed": None,
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"guidance_scale": 7.5,
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"multi_lingual": "no",
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"panorama": "no",
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"self_attention": "no",
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"upscale": "no",
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"embeddings": "embeddings_model_id",
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"lora": "lora_model_id",
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"webhook": None,
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"track_id": None
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})
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headers = {
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'Content-Type': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.text)
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> Use this coupon code to get 25% off **DMGG0RBN**
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model_index.json
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.25.0.dev0",
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"feature_extractor": [
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null,
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null
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],
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"force_zeros_for_empty_prompt": true,
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"image_encoder": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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"EulerDiscreteScheduler"
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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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"text_encoder_2": [
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"transformers",
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"CLIPTextModelWithProjection"
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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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"tokenizer_2": [
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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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scheduler/scheduler_config.json
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{
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"_class_name": "EulerDiscreteScheduler",
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"_diffusers_version": "0.25.0.dev0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"interpolation_type": "linear",
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"rescale_betas_zero_snr": false,
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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"sigma_max": null,
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"sigma_min": null,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"timestep_spacing": "leading",
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"timestep_type": "discrete",
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"trained_betas": null,
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"use_karras_sigmas": false
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}
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text_encoder/config.json
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{
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"vocab_size": 49408
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}
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text_encoder/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e62b5d89f980ee25438e4321064f3d7dda519bf04b86bd6422b177e22b74f6d
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size 246185562
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text_encoder_2/config.json
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{
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"architectures": [
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"CLIPTextModelWithProjection"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_size": 1280,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 20,
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"num_hidden_layers": 32,
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"pad_token_id": 1,
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"projection_dim": 1280,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"vocab_size": 49408
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}
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text_encoder_2/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:24e9ad5d46f35870ab26964a341e31f616b682cc1f07a0289c2d984f5592ca88
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size 1389490462
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tokenizer/merges.txt
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tokenizer/special_tokens_map.json
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"49406": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49407": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": true,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 77,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": "<|endoftext|>"
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}
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tokenizer/vocab.json
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tokenizer_2/merges.txt
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tokenizer_2/special_tokens_map.json
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "!",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer_2/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "!",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49406": {
|
13 |
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|
14 |
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|
15 |
+
"normalized": true,
|
16 |
+
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|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
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"49407": {
|
21 |
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"content": "<|endoftext|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": true,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
}
|
28 |
+
},
|
29 |
+
"bos_token": "<|startoftext|>",
|
30 |
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"clean_up_tokenization_spaces": true,
|
31 |
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"do_lower_case": true,
|
32 |
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"eos_token": "<|endoftext|>",
|
33 |
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"errors": "replace",
|
34 |
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"model_max_length": 77,
|
35 |
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|
36 |
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"tokenizer_class": "CLIPTokenizer",
|
37 |
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"unk_token": "<|endoftext|>"
|
38 |
+
}
|
tokenizer_2/vocab.json
ADDED
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|
unet/config.json
ADDED
@@ -0,0 +1,72 @@
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|
|
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|
|
|
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|
|
1 |
+
{
|
2 |
+
"_class_name": "UNet2DConditionModel",
|
3 |
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"_diffusers_version": "0.25.0.dev0",
|
4 |
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"act_fn": "silu",
|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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"down_block_types": [
|
27 |
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"DownBlock2D",
|
28 |
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"CrossAttnDownBlock2D",
|
29 |
+
"CrossAttnDownBlock2D"
|
30 |
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],
|
31 |
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"downsample_padding": 1,
|
32 |
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|
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|
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|
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|
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|
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|
38 |
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"in_channels": 4,
|
39 |
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"layers_per_block": 2,
|
40 |
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|
41 |
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"mid_block_scale_factor": 1,
|
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"mid_block_type": "UNetMidBlock2DCrossAttn",
|
43 |
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"norm_eps": 1e-05,
|
44 |
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"norm_num_groups": 32,
|
45 |
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"num_attention_heads": null,
|
46 |
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"num_class_embeds": null,
|
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|
48 |
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"out_channels": 4,
|
49 |
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"projection_class_embeddings_input_dim": 2816,
|
50 |
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"resnet_out_scale_factor": 1.0,
|
51 |
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"resnet_skip_time_act": false,
|
52 |
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"resnet_time_scale_shift": "default",
|
53 |
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"reverse_transformer_layers_per_block": null,
|
54 |
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"sample_size": 128,
|
55 |
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"time_cond_proj_dim": null,
|
56 |
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"time_embedding_act_fn": null,
|
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"time_embedding_dim": null,
|
58 |
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"time_embedding_type": "positional",
|
59 |
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"timestep_post_act": null,
|
60 |
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"transformer_layers_per_block": [
|
61 |
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1,
|
62 |
+
2,
|
63 |
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10
|
64 |
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],
|
65 |
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"up_block_types": [
|
66 |
+
"CrossAttnUpBlock2D",
|
67 |
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"CrossAttnUpBlock2D",
|
68 |
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"UpBlock2D"
|
69 |
+
],
|
70 |
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"upcast_attention": false,
|
71 |
+
"use_linear_projection": true
|
72 |
+
}
|
unet/diffusion_pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:098a198ef80eebc99a0e578524e65ee1ae7df386ffb40f331bb015e57dede3c6
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size 5135669022
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vae/config.json
ADDED
@@ -0,0 +1,31 @@
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|
1 |
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{
|
2 |
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"_class_name": "AutoencoderKL",
|
3 |
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"_diffusers_version": "0.25.0.dev0",
|
4 |
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"act_fn": "silu",
|
5 |
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"block_out_channels": [
|
6 |
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128,
|
7 |
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|
8 |
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512,
|
9 |
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512
|
10 |
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],
|
11 |
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"down_block_types": [
|
12 |
+
"DownEncoderBlock2D",
|
13 |
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"DownEncoderBlock2D",
|
14 |
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"DownEncoderBlock2D",
|
15 |
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"DownEncoderBlock2D"
|
16 |
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],
|
17 |
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"force_upcast": true,
|
18 |
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"in_channels": 3,
|
19 |
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"latent_channels": 4,
|
20 |
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|
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"norm_num_groups": 32,
|
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|
23 |
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"sample_size": 1024,
|
24 |
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"scaling_factor": 0.13025,
|
25 |
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"up_block_types": [
|
26 |
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"UpDecoderBlock2D",
|
27 |
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"UpDecoderBlock2D",
|
28 |
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"UpDecoderBlock2D",
|
29 |
+
"UpDecoderBlock2D"
|
30 |
+
]
|
31 |
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}
|
vae/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 167404866
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