Shinhati2023
commited on
Commit
·
6b9a7d4
1
Parent(s):
775ff14
Upload 6 files
Browse files- Negapower.json +19 -0
- config.json +31 -0
- scheduler_scheduler_config.json +18 -0
- text_encoder_config.json +24 -0
- tokenizer_vocab.json +0 -0
- unet_config.json +69 -0
Negapower.json
ADDED
@@ -0,0 +1,19 @@
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fetch(
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"https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2",
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{
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method: "POST",
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headers: {
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"content-type": "application/json",
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},
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body: JSON.stringify({
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inputs:
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"award winning high resolution photo of a giant tortoise/((ladybird)) hybrid, [trending on artstation]",
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negative_prompt: "malformed",deformed, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, disgusting, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, blurry.
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}),
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}
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)
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.then((res) => res.blob())
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.then((blob) => {
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const tab = window.open((target = "_blank"));
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tab.location.href = window.URL.createObjectURL(blob);
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});
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config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.18.0.dev0",
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"_name_or_path": ".",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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256,
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512,
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512
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],
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"down_block_types": [
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D"
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],
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"in_channels": 3,
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"latent_channels": 4,
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"layers_per_block": 2,
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"norm_num_groups": 32,
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"out_channels": 3,
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"sample_size": 1024,
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"scaling_factor": 0.13025,
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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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": "0.19.0",
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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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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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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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"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": "4.33.1",
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"vocab_size": 49408
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}
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tokenizer_vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
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unet_config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.19.0",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": 256,
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"attention_head_dim": [
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5,
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10,
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20
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],
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"block_out_channels": [
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320,
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640,
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1280
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 2048,
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"cross_attention_norm": null,
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D"
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],
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"downsample_padding": 1,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": 2816,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"sample_size": 128,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": [
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1,
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2,
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10
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],
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"up_block_types": [
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"UpBlock2D"
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],
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"upcast_attention": null,
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"use_linear_projection": true
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}
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