fp16 variant of Proteus v0.3

.gitignore

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+.DS_Store
+**/.DS_Store

README.md

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 ---
 license: gpl-3.0
 ---
+
+This a an fp16 variant of Proteus V0.3
+https://huggingface.co/dataautogpt3/ProteusV0.3
+currently under the gpl-v3 licence.
+
+simply created by 
+
+```py
+import torch
+from diffusers import DiffusionPipeline
+
+pipeline = DiffusionPipeline.from_pretrained("dataautogpt3/ProteusV0.3", torch_dtype=torch.float16)
+pipeline.save_pretrained('fp16_ProteusV0.3', safe_serialization=True, variant='fp16')
+```
+See the original model for details.
+
+The fp32 version of the model, even when converted to fp16 when loading, uses up to much RAM
+hence my need for this version.
+
+Dave

model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.26.1",
+  "_name_or_path": "dataautogpt3/ProteusV0.3",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "force_zeros_for_empty_prompt": true,
+  "image_encoder": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "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": "EulerDiscreteScheduler",
+  "_diffusers_version": "0.26.1",
+  "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,
+  "sigma_max": null,
+  "sigma_min": null,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "timestep_type": "discrete",
+  "trained_betas": null,
+  "use_karras_sigmas": false
+}

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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+  "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": "4.35.2",
+  "vocab_size": 49408
+}

text_encoder/model.fp16.safetensors

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text_encoder_2/config.json

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+}

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.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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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.26.1",
+  "_name_or_path": "/Users/davidburnett/.cache/huggingface/hub/models--dataautogpt3--ProteusV0.3/snapshots/915e423763ae349867d2f5b74a0ee750535e3fd2/unet",
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vae/config.json

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