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README.txt

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+---
+license: mit
+library_name: diffusers
+pipeline_tag: text-to-image
+tags:
+- diffusion
+- free
+- freeai
+- ai
+- interdiffusion
+widget:
+  - text: >-
+      a smiling girl with sparkles in her eyes, walking in a garden, in the morning --style anime
+    output:
+      url: example1.png
+  - text: >-
+      firewatch landscape, Graphic Novel, Pastel Art, Poster, Golden Hour, Electric Colors, 4k, RGB, Geometric, Volumetric, Lumen Global Illumination, Ray Tracing Reflections, Twisted Rays, Glowing Edges, RTX --raw
+    output:
+      url: example2.png
+  - text: >-
+      Samsung Galaxy S9
+    output:
+      url: example3.png
+  - text: >-
+      cat, 4k, 8k, hyperrealistic, realistic, High-resolution, unreal engine 5, rtx, 16k, taken on a sony camera, Cinematic, dramatic lighting
+    output:
+      url: example4.png
+  - text: >-
+      cinimatic closeup of burning skull
+    output:
+      url: example5.png
+  - text: >-
+      frozen elsa
+    output:
+      url: example6.png
+  - text: >-
+      A rainbow tree, anime style, tree in focus
+    output:
+      url: example7.png
+---
+
+- Size: 6.9 GB
+- Text: Partly
+- Base: InterDiffusion-3.5
+- Recommended Size: 1024x1024
+- Recommended Steps: 25
+- Demo: [https://discord.gg/9vvZVjBHAN](https://discord.gg/9vvZVjBHAN)
+
+## Examples:
+<Gallery />

model.safetensors

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model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.22.0.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"
+  ]
+}

text_encoder/config.json

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+    "CLIPTextModel"
+  ],
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+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "hidden_act": "quick_gelu",
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+  "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": "4.34.0",
+  "vocab_size": 49408
+}

text_encoder/model.fp16.safetensors

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text_encoder/model.safetensors

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text_encoder_2/config.json

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+  "model_type": "clip_text_model",
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+  "num_hidden_layers": 32,
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+  "projection_dim": 1280,
+  "torch_dtype": "float16",
+  "transformers_version": "4.34.0",
+  "vocab_size": 49408
+}

text_encoder_2/model.fp16.safetensors

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tokenizer/added_tokens.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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+  "errors": "replace",
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+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "tokenizer_file": "/home/user/.cache/huggingface/hub/models--openai--clip-vit-large-patch14/snapshots/32bd64288804d66eefd0ccbe215aa642df71cc41/tokenizer.json",
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tokenizer_2/added_tokens.json

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tokenizer_2/special_tokens_map.json

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tokenizer_2/tokenizer_config.json

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unet/config.json

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+  "_diffusers_version": "0.22.0.dev0",
+  "act_fn": "silu",
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vae/config.json

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