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- .gitattributes +327 -0
- .gitignore +2 -0
- .gitmodules +3 -0
- README.md +2 -0
- models/newdream-sdxl-20/.gitattributes +35 -0
- models/newdream-sdxl-20/.gitignore +2 -0
- models/newdream-sdxl-20/README.md +66 -0
- models/newdream-sdxl-20/model_index.json +33 -0
- models/newdream-sdxl-20/tokenizer/vocab.json +0 -0
- models/newdream-sdxl-20/tokenizer_2/vocab.json +0 -0
- models/newdream-sdxl-20/unet/config.json +71 -0
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.gitattributes
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onnx/up_blocks.0/resnets.2.conv_shortcut.weight filter=lfs diff=lfs merge=lfs -text
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.gitignore
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**/__pycache__
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**.egg-info
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[submodule "models/newdream-sdxl-20"]
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path = models/newdream-sdxl-20
|
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+
url = https://huggingface.co/stablediffusionapi/newdream-sdxl-20
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README.md
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Heban olla vogola
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models/newdream-sdxl-20/.gitattributes
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*.model filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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| 28 |
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
models/newdream-sdxl-20/.gitignore
ADDED
|
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|
| 1 |
+
step_*
|
| 2 |
+
epoch_*
|
models/newdream-sdxl-20/README.md
ADDED
|
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|
| 1 |
+
---
|
| 2 |
+
license: creativeml-openrail-m
|
| 3 |
+
tags:
|
| 4 |
+
- stablediffusionapi.com
|
| 5 |
+
- stable-diffusion-api
|
| 6 |
+
- text-to-image
|
| 7 |
+
- ultra-realistic
|
| 8 |
+
pinned: true
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# NewDream-SDXL 2.0 API Inference
|
| 12 |
+
|
| 13 |
+

|
| 14 |
+
## Get API Key
|
| 15 |
+
|
| 16 |
+
Get API key from [Stable Diffusion API](http://stablediffusionapi.com/), No Payment needed.
|
| 17 |
+
|
| 18 |
+
Replace Key in below code, change **model_id** to "newdream-sdxl-20"
|
| 19 |
+
|
| 20 |
+
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: [View docs](https://stablediffusionapi.com/docs)
|
| 21 |
+
|
| 22 |
+
Try model for free: [Generate Images](https://stablediffusionapi.com/models/newdream-sdxl-20)
|
| 23 |
+
|
| 24 |
+
Model link: [View model](https://stablediffusionapi.com/models/newdream-sdxl-20)
|
| 25 |
+
|
| 26 |
+
Credits: [View credits](https://civitai.com/?query=NewDream-SDXL%202.0)
|
| 27 |
+
|
| 28 |
+
View all models: [View Models](https://stablediffusionapi.com/models)
|
| 29 |
+
|
| 30 |
+
import requests
|
| 31 |
+
import json
|
| 32 |
+
|
| 33 |
+
url = "https://stablediffusionapi.com/api/v4/dreambooth"
|
| 34 |
+
|
| 35 |
+
payload = json.dumps({
|
| 36 |
+
"key": "your_api_key",
|
| 37 |
+
"model_id": "newdream-sdxl-20",
|
| 38 |
+
"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",
|
| 39 |
+
"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",
|
| 40 |
+
"width": "512",
|
| 41 |
+
"height": "512",
|
| 42 |
+
"samples": "1",
|
| 43 |
+
"num_inference_steps": "30",
|
| 44 |
+
"safety_checker": "no",
|
| 45 |
+
"enhance_prompt": "yes",
|
| 46 |
+
"seed": None,
|
| 47 |
+
"guidance_scale": 7.5,
|
| 48 |
+
"multi_lingual": "no",
|
| 49 |
+
"panorama": "no",
|
| 50 |
+
"self_attention": "no",
|
| 51 |
+
"upscale": "no",
|
| 52 |
+
"embeddings": "embeddings_model_id",
|
| 53 |
+
"lora": "lora_model_id",
|
| 54 |
+
"webhook": None,
|
| 55 |
+
"track_id": None
|
| 56 |
+
})
|
| 57 |
+
|
| 58 |
+
headers = {
|
| 59 |
+
'Content-Type': 'application/json'
|
| 60 |
+
}
|
| 61 |
+
|
| 62 |
+
response = requests.request("POST", url, headers=headers, data=payload)
|
| 63 |
+
|
| 64 |
+
print(response.text)
|
| 65 |
+
|
| 66 |
+
> Use this coupon code to get 25% off **DMGG0RBN**
|
models/newdream-sdxl-20/model_index.json
ADDED
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"_class_name": "StableDiffusionXLPipeline",
|
| 3 |
+
"_diffusers_version": "0.21.2",
|
| 4 |
+
"force_zeros_for_empty_prompt": true,
|
| 5 |
+
"scheduler": [
|
| 6 |
+
"diffusers",
|
| 7 |
+
"EulerDiscreteScheduler"
|
| 8 |
+
],
|
| 9 |
+
"text_encoder": [
|
| 10 |
+
"transformers",
|
| 11 |
+
"CLIPTextModel"
|
| 12 |
+
],
|
| 13 |
+
"text_encoder_2": [
|
| 14 |
+
"transformers",
|
| 15 |
+
"CLIPTextModelWithProjection"
|
| 16 |
+
],
|
| 17 |
+
"tokenizer": [
|
| 18 |
+
"transformers",
|
| 19 |
+
"CLIPTokenizer"
|
| 20 |
+
],
|
| 21 |
+
"tokenizer_2": [
|
| 22 |
+
"transformers",
|
| 23 |
+
"CLIPTokenizer"
|
| 24 |
+
],
|
| 25 |
+
"unet": [
|
| 26 |
+
"diffusers",
|
| 27 |
+
"UNet2DConditionModel"
|
| 28 |
+
],
|
| 29 |
+
"vae": [
|
| 30 |
+
"diffusers",
|
| 31 |
+
"AutoencoderKL"
|
| 32 |
+
]
|
| 33 |
+
}
|
models/newdream-sdxl-20/tokenizer/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
models/newdream-sdxl-20/tokenizer_2/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
models/newdream-sdxl-20/unet/config.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DConditionModel",
|
| 3 |
+
"_diffusers_version": "0.21.2",
|
| 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 |
+
"sample_size": 128,
|
| 54 |
+
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|
| 55 |
+
"time_embedding_act_fn": null,
|
| 56 |
+
"time_embedding_dim": null,
|
| 57 |
+
"time_embedding_type": "positional",
|
| 58 |
+
"timestep_post_act": null,
|
| 59 |
+
"transformer_layers_per_block": [
|
| 60 |
+
1,
|
| 61 |
+
2,
|
| 62 |
+
10
|
| 63 |
+
],
|
| 64 |
+
"up_block_types": [
|
| 65 |
+
"CrossAttnUpBlock2D",
|
| 66 |
+
"CrossAttnUpBlock2D",
|
| 67 |
+
"UpBlock2D"
|
| 68 |
+
],
|
| 69 |
+
"upcast_attention": false,
|
| 70 |
+
"use_linear_projection": true
|
| 71 |
+
}
|
onnx/up_blocks.0/attentions.0.proj_in.bias
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onnx/up_blocks.0/attentions.0.proj_out.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.attn1.to_out.0.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.attn2.to_out.0.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.ff.net.0.proj.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.ff.net.2.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.norm1.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.norm1.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.norm2.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.norm2.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.norm3.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.0.norm3.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.1.attn2.to_out.0.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.1.ff.net.0.proj.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.1.ff.net.2.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.1.norm1.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.1.norm2.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.1.norm2.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.1.norm3.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.1.norm3.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.2.attn1.to_out.0.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.2.ff.net.0.proj.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.2.norm2.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.2.norm3.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.3.ff.net.2.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.3.norm2.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.3.norm3.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.3.norm3.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.attn1.to_out.0.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.attn2.to_out.0.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.ff.net.0.proj.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.ff.net.2.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.norm1.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.norm1.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.norm2.bias
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.norm2.weight
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onnx/up_blocks.0/attentions.0.transformer_blocks.4.norm3.bias
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