Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
realistic
photorealistic
pony
Instructions to use AIGaming/mist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIGaming/mist with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIGaming/mist", dtype=torch.bfloat16, device_map="cuda") prompt = "Realistic,Traditional Chinese female portrait,delicate facial features,youthful woman,intricate hair adorned with floral accessories,rosy cheeks,slender neck,wearing an ornate qipao with elaborate embroidery,vibrant warm hues,cultural attire signifying elegance and status,serene and graceful demeanor,adorned with understated drop earrings,clear attention to textile patterns and jewelry details,soft pastel background complementing the subject's gentle visage,artistic inspiration likely drawn from historical Chinese paintings or modern reinterpretations thereof,volumetric lighting, depth of field, cinematic, vibrant, shadows, detailed ,score_9,source_photo," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Allen commited on
Commit ·
3f9fb62
1
Parent(s): 3ca1b0f
upload model
Browse files- model_index.json +41 -0
- scheduler/scheduler_config.json +31 -0
- text_encoder/config.json +24 -0
- text_encoder/model.safetensors +3 -0
- text_encoder_2/config.json +24 -0
- text_encoder_2/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -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
- vae/config.json +34 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
model_index.json
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.28.2",
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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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"EDMDPMSolverMultistepScheduler"
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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": "EDMDPMSolverMultistepScheduler",
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"_diffusers_version": "0.28.2",
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"algorithm_type": "dpmsolver++",
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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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"dynamic_thresholding_ratio": 0.995,
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"euler_at_final": false,
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"final_sigmas_type": "zero",
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"interpolation_type": "linear",
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"lower_order_final": true,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"rho": 7.0,
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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"sigma_data": 0.5,
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"sigma_max": 80.0,
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"sigma_min": 0.002,
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"sigma_schedule": "karras",
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"skip_prk_steps": true,
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"solver_order": 2,
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"solver_type": "midpoint",
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"steps_offset": 1,
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"thresholding": false,
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"timestep_spacing": "leading",
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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": "4.41.2",
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"vocab_size": 49408
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}
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a89668049fa00ada8d69068d66b204e7f6338705725439578dded5a261c6aab3
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size 246144152
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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": "4.41.2",
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"vocab_size": 49408
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}
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text_encoder_2/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02f6f2774c2f8c55d6931978b128ff05089f580c311da342d3bf159e18ae508a
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size 1389382176
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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": "<|endoftext|>",
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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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| 17 |
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"unk_token": {
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| 18 |
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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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| 22 |
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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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| 9 |
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"single_word": false,
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"special": true
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},
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| 12 |
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"49406": {
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| 13 |
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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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| 17 |
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"single_word": false,
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| 18 |
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"special": true
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| 19 |
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},
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"49407": {
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| 21 |
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"content": "<|endoftext|>",
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| 22 |
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"lstrip": false,
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"normalized": true,
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| 24 |
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"rstrip": false,
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| 25 |
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"single_word": false,
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| 26 |
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"special": true
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| 27 |
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}
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| 28 |
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},
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| 29 |
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"bos_token": "<|startoftext|>",
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| 30 |
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"clean_up_tokenization_spaces": true,
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| 31 |
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"do_lower_case": true,
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| 32 |
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"eos_token": "<|endoftext|>",
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| 33 |
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"errors": "replace",
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| 34 |
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"model_max_length": 77,
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| 35 |
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"pad_token": "!",
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| 36 |
+
"tokenizer_class": "CLIPTokenizer",
|
| 37 |
+
"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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|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DConditionModel",
|
| 3 |
+
"_diffusers_version": "0.28.2",
|
| 4 |
+
"act_fn": "silu",
|
| 5 |
+
"addition_embed_type": "text_time",
|
| 6 |
+
"addition_embed_type_num_heads": 64,
|
| 7 |
+
"addition_time_embed_dim": 256,
|
| 8 |
+
"attention_head_dim": [
|
| 9 |
+
5,
|
| 10 |
+
10,
|
| 11 |
+
20
|
| 12 |
+
],
|
| 13 |
+
"attention_type": "default",
|
| 14 |
+
"block_out_channels": [
|
| 15 |
+
320,
|
| 16 |
+
640,
|
| 17 |
+
1280
|
| 18 |
+
],
|
| 19 |
+
"center_input_sample": false,
|
| 20 |
+
"class_embed_type": null,
|
| 21 |
+
"class_embeddings_concat": false,
|
| 22 |
+
"conv_in_kernel": 3,
|
| 23 |
+
"conv_out_kernel": 3,
|
| 24 |
+
"cross_attention_dim": 2048,
|
| 25 |
+
"cross_attention_norm": null,
|
| 26 |
+
"down_block_types": [
|
| 27 |
+
"DownBlock2D",
|
| 28 |
+
"CrossAttnDownBlock2D",
|
| 29 |
+
"CrossAttnDownBlock2D"
|
| 30 |
+
],
|
| 31 |
+
"downsample_padding": 1,
|
| 32 |
+
"dropout": 0.0,
|
| 33 |
+
"dual_cross_attention": false,
|
| 34 |
+
"encoder_hid_dim": null,
|
| 35 |
+
"encoder_hid_dim_type": null,
|
| 36 |
+
"flip_sin_to_cos": true,
|
| 37 |
+
"freq_shift": 0,
|
| 38 |
+
"in_channels": 4,
|
| 39 |
+
"layers_per_block": 2,
|
| 40 |
+
"mid_block_only_cross_attention": null,
|
| 41 |
+
"mid_block_scale_factor": 1,
|
| 42 |
+
"mid_block_type": "UNetMidBlock2DCrossAttn",
|
| 43 |
+
"norm_eps": 1e-05,
|
| 44 |
+
"norm_num_groups": 32,
|
| 45 |
+
"num_attention_heads": null,
|
| 46 |
+
"num_class_embeds": null,
|
| 47 |
+
"only_cross_attention": false,
|
| 48 |
+
"out_channels": 4,
|
| 49 |
+
"projection_class_embeddings_input_dim": 2816,
|
| 50 |
+
"resnet_out_scale_factor": 1.0,
|
| 51 |
+
"resnet_skip_time_act": false,
|
| 52 |
+
"resnet_time_scale_shift": "default",
|
| 53 |
+
"reverse_transformer_layers_per_block": null,
|
| 54 |
+
"sample_size": 128,
|
| 55 |
+
"time_cond_proj_dim": null,
|
| 56 |
+
"time_embedding_act_fn": null,
|
| 57 |
+
"time_embedding_dim": null,
|
| 58 |
+
"time_embedding_type": "positional",
|
| 59 |
+
"timestep_post_act": null,
|
| 60 |
+
"transformer_layers_per_block": [
|
| 61 |
+
1,
|
| 62 |
+
2,
|
| 63 |
+
10
|
| 64 |
+
],
|
| 65 |
+
"up_block_types": [
|
| 66 |
+
"CrossAttnUpBlock2D",
|
| 67 |
+
"CrossAttnUpBlock2D",
|
| 68 |
+
"UpBlock2D"
|
| 69 |
+
],
|
| 70 |
+
"upcast_attention": null,
|
| 71 |
+
"use_linear_projection": true
|
| 72 |
+
}
|
vae/config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKL",
|
| 3 |
+
"_diffusers_version": "0.28.2",
|
| 4 |
+
"_name_or_path": "../sdxl-vae/",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"block_out_channels": [
|
| 7 |
+
128,
|
| 8 |
+
256,
|
| 9 |
+
512,
|
| 10 |
+
512
|
| 11 |
+
],
|
| 12 |
+
"down_block_types": [
|
| 13 |
+
"DownEncoderBlock2D",
|
| 14 |
+
"DownEncoderBlock2D",
|
| 15 |
+
"DownEncoderBlock2D",
|
| 16 |
+
"DownEncoderBlock2D"
|
| 17 |
+
],
|
| 18 |
+
"force_upcast": true,
|
| 19 |
+
"in_channels": 3,
|
| 20 |
+
"latent_channels": 4,
|
| 21 |
+
"latents_mean": null,
|
| 22 |
+
"latents_std": null,
|
| 23 |
+
"layers_per_block": 2,
|
| 24 |
+
"norm_num_groups": 32,
|
| 25 |
+
"out_channels": 3,
|
| 26 |
+
"sample_size": 1024,
|
| 27 |
+
"scaling_factor": 0.13025,
|
| 28 |
+
"up_block_types": [
|
| 29 |
+
"UpDecoderBlock2D",
|
| 30 |
+
"UpDecoderBlock2D",
|
| 31 |
+
"UpDecoderBlock2D",
|
| 32 |
+
"UpDecoderBlock2D"
|
| 33 |
+
]
|
| 34 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa6da89ceecd9385db39b753592d187230459d3147efffdac52b20b9490de9f9
|
| 3 |
+
size 167335342
|