Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,12 +1,14 @@
 ---
-title: Autotrain DavidsDreambooth2 G4GM7WB0MG 2555778120
-emoji: ⚡
-colorFrom: blue
-colorTo: red
+title: AutoTrain Dreambooth(autotrain-DavidsDreambooth2-G4GM7WB0MG-2555778120)
+emoji: 😻
+colorFrom: gray
+colorTo: yellow
 sdk: gradio
-sdk_version: 3.14.0
+sdk_version: 3.12.0
 app_file: app.py
 pinned: false
+tags:
+  - autotrain
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,44 @@
+import os
+
+import gradio as gr
+import torch
+from diffusers import StableDiffusionPipeline
+
+DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
+PIPE = StableDiffusionPipeline.from_pretrained(
+    "model/",
+    torch_dtype=torch.float16 if DEVICE == "cuda" else torch.float32,
+)
+PIPE = PIPE.to(DEVICE)
+
+
+def generate_image(prompt, negative_prompt, image_size, scale, steps, seed):
+    image_size = int(image_size) if image_size else 512
+    generator = torch.Generator(device=DEVICE).manual_seed(seed)
+    images = PIPE(
+        prompt,
+        negative_prompt=negative_prompt,
+        width=image_size,
+        height=image_size,
+        num_inference_steps=steps,
+        guidance_scale=scale,
+        num_images_per_prompt=1,
+        generator=generator,
+    ).images[0]
+    return images
+
+
+gr.Interface(
+    fn=generate_image,
+    inputs=[
+        gr.Textbox(label="Prompt", lines=5, max_lines=5),
+        gr.Textbox(label="Negative prompt (optional)", lines=5, max_lines=5),
+        gr.Textbox(label="Image size (optional)", lines=1, max_lines=1),
+        gr.Slider(1, maximum=20, value=7.5, step=0.5, label="Scale"),
+        gr.Slider(1, 150, 50, label="Steps"),
+        gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True, label="Seed"),
+    ],
+    outputs="image",
+    title="Dreambooth - Powered by AutoTrain",
+    description="Model:autotrain-DavidsDreambooth2-G4GM7WB0MG-2555778120, concept prompts: concept1-> ddb24. Tip: Switch to GPU hardware in settings to make inference superfast!",
+).launch()

model/model_index.json

@@ -0,0 +1,33 @@
+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.12.0.dev0",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

model/scheduler/scheduler_config.json

@@ -0,0 +1,13 @@
+{
+  "_class_name": "PNDMScheduler",
+  "_diffusers_version": "0.12.0.dev0",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "trained_betas": null
+}

model/text_encoder/config.json

@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "multimodalart/sd-fine-tunable",
+  "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": "4.25.1",
+  "vocab_size": 49408
+}

model/text_encoder/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1964eb44120e0d6de5542164a9809919734a5604c5f017d9fbff4a628eca924f
+size 492309793

model/tokenizer/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "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
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

model/tokenizer/tokenizer_config.json

@@ -0,0 +1,34 @@
+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "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": "/app/.cache/huggingface/diffusers/models--multimodalart--sd-fine-tunable/snapshots/9dabd4dbbdd4c72e2ffbc8fb4e28debef0254949/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
+  }
+}

model/unet/config.json

@@ -0,0 +1,45 @@
+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.12.0.dev0",
+  "_name_or_path": "multimodalart/sd-fine-tunable",
+  "act_fn": "silu",
+  "attention_head_dim": 8,
+  "block_out_channels": [
+    320,
+    640,
+    1280,
+    1280
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "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,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 4,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 64,
+  "up_block_types": [
+    "UpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

model/unet/diffusion_pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2709fc34fe23a3cdd70e3278e41b5970e39139e654c4f6ef27188e44c4ad6256
+size 3438375973

model/vae/config.json

@@ -0,0 +1,30 @@
+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.12.0.dev0",
+  "_name_or_path": "/app/.cache/huggingface/diffusers/models--multimodalart--sd-fine-tunable/snapshots/9dabd4dbbdd4c72e2ffbc8fb4e28debef0254949/vae",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "in_channels": 3,
+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 512,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}

model/vae/diffusion_pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36bb8e1b54aba3a0914eb35fba13dcb107e9f18d379d1df2158732cd4bf56a94
+size 334711857

requirements.txt

@@ -0,0 +1,6 @@
+--extra-index-url https://download.pytorch.org/whl/cu113
+torch==1.12.1+cu113
+torchvision==0.13.1+cu113
+accelerate
+transformers
+git+https://github.com/huggingface/diffusers.git