Adding `diffusers` weights of this model

README.md

@@ -24,6 +24,30 @@ The model has been mostly developed by Founder and CEO of Mann-E, [Muhammadreza
 - Scale: 768x768 and 832x832 are just fine. Higher isn't tested. For 16:9 just try 1080x608
 - Sampler : DPM++ SDE Karras
 
+## Use it with diffusers
+
+```py
+from diffusers import DiffusionPipeline, DPMSolverSinglestepScheduler
+import torch
+
+pipe = DiffusionPipeline.from_pretrained(
+    "mann-e/Mann-E_Dreams", torch_dtype=torch.float16
+).to("cuda")
+
+#This is equivalent to DPM++ SDE Karras, as noted in https://huggingface.co/docs/diffusers/main/en/api/schedulers/overview
+pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config, use_karras_sigmas=True)
+
+image = pipe(
+  prompt="a cat in a bustling middle eastern city",
+  num_inference_steps=8,
+  guidance_scale=3,
+  width=768,
+  height=768,
+  clip_skip=1
+).images[0]
+image.save("a_cat.png")
+```
+
 ## Additional Notes
 
 - SDXL 1.0 LoRas are working just fine with the model.

model_index.json

@@ -0,0 +1,33 @@
+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.22.0.dev0",
+  "force_zeros_for_empty_prompt": true,
+  "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

@@ -0,0 +1,18 @@
+{
+  "_class_name": "EulerDiscreteScheduler",
+  "_diffusers_version": "0.22.0.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",
+  "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

@@ -0,0 +1,24 @@
+{
+  "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": "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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+{
+  "architectures": [
+    "CLIPTextModelWithProjection"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_size": 1280,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 32,
+  "pad_token_id": 1,
+  "projection_dim": 1280,
+  "torch_dtype": "float16",
+  "transformers_version": "4.34.0",
+  "vocab_size": 49408
+}

text_encoder_2/model.fp16.safetensors

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text_encoder_2/model.safetensors

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tokenizer/added_tokens.json

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+  "<|startoftext|>": 49406
+}

tokenizer/special_tokens_map.json

@@ -0,0 +1,6 @@
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+  "bos_token": "<|startoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer/tokenizer_config.json

@@ -0,0 +1,32 @@
+{
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+  "added_tokens_decoder": {
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+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "tokenizer_file": "/home/user/.cache/huggingface/hub/models--openai--clip-vit-large-patch14/snapshots/32bd64288804d66eefd0ccbe215aa642df71cc41/tokenizer.json",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_2/added_tokens.json

@@ -0,0 +1,5 @@
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+  "<|endoftext|>": 49407,
+  "<|startoftext|>": 49406
+}

tokenizer_2/special_tokens_map.json

@@ -0,0 +1,6 @@
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+  "bos_token": "<|startoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "!",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_2/tokenizer_config.json

@@ -0,0 +1,40 @@
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+      "special": false
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+  "additional_special_tokens": [],
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 77,
+  "pad_token": "!",
+  "tokenizer_class": "CLIPTokenizer",
+  "tokenizer_file": "/home/user/.cache/huggingface/hub/models--laion--CLIP-ViT-bigG-14-laion2B-39B-b160k/snapshots/bc7788f151930d91b58474715fdce5524ad9a189/tokenizer.json",
+  "unk_token": "<|endoftext|>"
+}

unet/config.json

@@ -0,0 +1,71 @@
+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.22.0.dev0",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": 256,
+  "attention_head_dim": [
+    5,
+    10,
+    20
+  ],
+  "attention_type": "default",
+  "block_out_channels": [
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+    640,
+    1280
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "class_embeddings_concat": false,
+  "conv_in_kernel": 3,
+  "conv_out_kernel": 3,
+  "cross_attention_dim": 2048,
+  "cross_attention_norm": null,
+  "down_block_types": [
+    "DownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
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+  "downsample_padding": 1,
+  "dropout": 0.0,
+  "dual_cross_attention": false,
+  "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
+  "flip_sin_to_cos": true,
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+  "num_class_embeds": null,
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+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 128,
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+    "CrossAttnUpBlock2D",
+    "UpBlock2D"
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+  "use_linear_projection": true
+}

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vae/config.json

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+  "_diffusers_version": "0.22.0.dev0",
+  "act_fn": "silu",
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+  ]
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