Adding model

README.md

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 ---
-license: mit
+license: creativeml-openrail-m
+tags:
+- stable-diffusion
+- text-to-image
+- santa claus
 ---
+# 🎁 Ornamental Santa Diffusion
+
+Fine-tuned Stable Diffusion model, based of F222, trained with pictures from various Santa Claus themed ornaments and knick-knacks.
+Use the tokens **_orna santa_** in your prompts for the effect.
+
+This model was also merged with [Anythingv3](https://huggingface.co/Linaqruf/anything-v3.0) and [Mo Di Diffusion](https://huggingface.co/nitrosocke/mo-di-diffusion).
+
+**If you enjoy this model, buy us some coffee** 
+[![Buy a coffee](https://badgen.net/badge/icon/kofi?icon=kofi&label)](https://ko-fi.com/3eegames)
+
+---
+
+**Santa Claus with detailed prompts rendered with the model:**
+![Detailed Samples](https://huggingface.co/3ee/ornamental-santa/resolve/main/grid3.png)
+**Output from basic and vivid prompts:**
+![Basic Samples](https://huggingface.co/3ee/ornamental-santa/resolve/main/grid4.png)
+**Giving more weight to the ornament style:**
+![Ornamental Style](https://huggingface.co/3ee/ornamental-santa/resolve/main/grid1.png)
+**Landscapes and backgrounds rendered with the model:**
+![Landscapes](https://huggingface.co/3ee/ornamental-santa/resolve/main/grid2.png)
+
+
+## 🧾 Prompt examples:
+
+**Basic starting point**
+
+```orna santa with cookies```
+
+[Negative prompt](#negative-prompt-template)
+
+_Steps: 18, Sampler: Euler a, CFG scale: 11.5, Seed: 2480441584, Size: 512x512, Model hash: b7ba5b22_
+
+**Activate F222 and Mo-Di models**
+
+```Perfectly-centered portrait-photograph of a real life godly 1man orna santa with cookies descending from heaven, stars, lifelike, super highly detailed, professional digital painting, artstation, christmas decor, Unreal Engine 5, Photorealism, HD quality, 8k resolution, cinema 4d, 3D, beautiful, cinematic, modern disney style, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden,art by artgerm and greg rutkowski and alphonse mucha and loish and WLOP_```
+
+_Steps: 32, Sampler: DPM adaptive, CFG scale: 12, Seed: 1639653330, Size: 512x512, Model hash: 697c8786_
+
+[Negative prompt](#negative-prompt-template)
+
+
+## ❎ Negative Prompt Template
+
+All images were rendered with the negative prompt below:
+
+```((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))). out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))```
+
+## 🍪 Diffusers
+
+This model can be used just like any other Stable Diffusion model. For more information,
+please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
+
+Export the model:
+- [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx)
+- [MPS](https://huggingface.co/docs/diffusers/optimization/mps)
+- FLAX/JAX
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+model_id = "3ee/ornamental-santa"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+prompt = "orna santa holding a plate of cookies"
+image = pipe(prompt).images[0]
+
+image.save("./santa_cookies.png")
+```
+
+## License
+
+This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
+The CreativeML OpenRAIL License specifies: 
+
+-  You can't use the model to deliberately produce nor share illegal or harmful outputs or content 
+-  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
+-  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)
+[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.9.0",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "requires_safety_checker": null,
+  "safety_checker": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "DDIMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

ornasanta_AnythingV3.0_fp16_0.8.ckpt

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scheduler/scheduler_config.json

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+{
+  "_class_name": "DDIMScheduler",
+  "_diffusers_version": "0.9.0",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "set_alpha_to_one": false,
+  "steps_offset": 1,
+  "trained_betas": null
+}

text_encoder/config.json

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+{
+  "_name_or_path": "C:\\Users\\ryguy\\Documents\\github\\stable-diffusion-webui\\models\\dreambooth\\ornasanta\\working",
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 768,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0",
+  "vocab_size": 49408
+}

text_encoder/pytorch_model.bin

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tokenizer/special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer/tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "do_lower_case": true,
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "model_max_length": 77,
+  "name_or_path": "C:\\Users\\ryguy\\Documents\\github\\stable-diffusion-webui\\models\\dreambooth\\ornasanta\\working\\tokenizer",
+  "pad_token": "<|endoftext|>",
+  "special_tokens_map_file": "./special_tokens_map.json",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

unet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.9.0",
+  "_name_or_path": "C:\\Users\\ryguy\\Documents\\github\\stable-diffusion-webui\\models\\dreambooth\\ornasanta\\working",
+  "act_fn": "silu",
+  "attention_head_dim": 8,
+  "block_out_channels": [
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+    640,
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+  "center_input_sample": false,
+  "cross_attention_dim": 768,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "dual_cross_attention": false,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
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+  "out_channels": 4,
+  "sample_size": 64,
+  "up_block_types": [
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+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "use_linear_projection": false
+}

unet/diffusion_pytorch_model.bin

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vae/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.9.0",
+  "_name_or_path": "C:\\Users\\ryguy\\Documents\\github\\stable-diffusion-webui\\models\\dreambooth\\ornasanta\\working",
+  "act_fn": "silu",
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+    256,
+    512,
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+  "sample_size": 256,
+  "up_block_types": [
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+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}

vae/diffusion_pytorch_model.bin

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