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README.md

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+---
+license: other
+license_name: faipl-1.0-sd
+license_link: https://freedevproject.org/faipl-1.0-sd/
+language:
+- en
+library_name: diffusers
+pipeline_tag: text-to-image
+tags:
+- text-to-image
+- stable-diffusion
+- stable-diffusion-xl
+- anime
+- styles
+- artist styles
+- artists
+- thicc
+- curvy
+- curvy body
+- gigantic breasts
+- huge breast
+- finetuned
+- pony
+---
+
+Original model is [here](https://civitai.com/models/683305/bigblumix-or-artists-styles-checkpoint-or-ponyxl?modelVersionId=764789).
+
+>Please use the style triggers to change how the checkpoint looks, you can gen with or without Score tags, and up to cfg 8!
+
+>Artist tokens work best before the score tags, but you can safely use them at the end
+
+>You can find the list of artists [here(updating)](https://docs.google.com/spreadsheets/d/1EI3eT2Fl6Q-NO2oQtZ-Enw6g4bpmaC3VTC-UjSzBcNQ/edit?gid=0#gid=0), and just the list of triggers [here](https://files.catbox.moe/3taf0o.txt), style mixing works just have to play with weights, also you can put them in negatives to further guide how you want it to look. Emphasis mode No Norm is suggested for SDXL models.

model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.31.0.dev0",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "force_zeros_for_empty_prompt": true,
+  "image_encoder": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "EulerAncestralDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "EulerAncestralDiscreteScheduler",
+  "_diffusers_version": "0.31.0.dev0",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "interpolation_type": "linear",
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "rescale_betas_zero_snr": false,
+  "sample_max_value": 1.0,
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "trained_betas": null,
+  "use_karras_sigmas": false
+}

text_encoder/config.json

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+{
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+    "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": "float16",
+  "transformers_version": "4.43.2",
+  "vocab_size": 49408
+}

text_encoder/model.safetensors

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text_encoder_2/config.json

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+  "torch_dtype": "float16",
+  "transformers_version": "4.43.2",
+  "vocab_size": 49408
+}

text_encoder_2/model.safetensors

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_2/special_tokens_map.json

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+{
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+    "content": "<|startoftext|>",
+    "lstrip": false,
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+}

tokenizer_2/tokenizer_config.json

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+  "model_max_length": 77,
+  "pad_token": "!",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

unet/config.json

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+  "_diffusers_version": "0.31.0.dev0",
+  "act_fn": "silu",
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unet/diffusion_pytorch_model.safetensors

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vae/config.json

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vae/diffusion_pytorch_model.safetensors

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