初始化项目，由ModelHub XC社区提供模型

Model: FredZhang7/distilgpt2-stable-diffusion-v2
Source: Original Platform

.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz 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

README.md

@@ -0,0 +1,91 @@
+---
+license: creativeml-openrail-m
+tags:
+- stable-diffusion
+- prompt-generator
+- arxiv:2210.14140
+widget:
+- text: "amazing"
+- text: "a photo of"
+- text: "a sci-fi"
+- text: "a portrait of"
+- text: "a person standing"
+- text: "a boy watching"
+datasets:
+- FredZhang7/stable-diffusion-prompts-2.47M
+- poloclub/diffusiondb
+- Gustavosta/Stable-Diffusion-Prompts
+- bartman081523/stable-diffusion-discord-prompts
+---
+# Fast GPT2 PromptGen
+
+<style>
+.container {
+  padding-left: 20px;
+  border-left: 5px solid gray;
+}
+</style>
+
+<div class="container">
+  <p><strong><a href="https://huggingface.co/FredZhang7/anime-anything-promptgen-v2">Fast Anime PromptGen</a></strong> generates descriptive safebooru and danbooru tags for anime text-to-image models.</p>
+</div>
+
+
+This model was trained on 2,470,000 descriptive stable diffusion prompts on the [FredZhang7/distilgpt2-stable-diffusion](https://huggingface.co/FredZhang7/distilgpt2-stable-diffusion) checkpoint for another 4,270,000 steps.
+
+Compared to other prompt generation models using GPT2, this one runs with 50% faster forwardpropagation and 40% less disk space & RAM.
+
+Major improvements from v1 are:
+- 25% more variations
+- faster and more fluent prompt generation
+- cleaned training data
+  * removed prompts that generate images with nsfw scores > 0.5
+  * removed duplicates, including prompts that differ by capitalization and punctuations
+  * removed punctuations at random places
+  * removed prompts shorter than 15 characters
+
+
+## Live WebUI Demo
+See the Prompt Generator tab of [Paint Journey Demo](https://huggingface.co/spaces/FredZhang7/paint-journey-demo).
+
+
+## Contrastive Search
+
+```bash
+pip install --upgrade transformers
+```
+
+```python
+from transformers import GPT2Tokenizer, GPT2LMHeadModel
+tokenizer = GPT2Tokenizer.from_pretrained('distilgpt2')
+tokenizer.add_special_tokens({'pad_token': '[PAD]'})
+model = GPT2LMHeadModel.from_pretrained('FredZhang7/distilgpt2-stable-diffusion-v2')
+
+prompt = r'a cat sitting'     # the beginning of the prompt
+temperature = 0.9             # a higher temperature will produce more diverse results, but with a higher risk of less coherent text
+top_k = 8                     # the number of tokens to sample from at each step
+max_length = 80               # the maximum number of tokens for the output of the model
+repitition_penalty = 1.2      # the penalty value for each repetition of a token
+num_return_sequences=5        # the number of results to generate
+
+# generate the result with contrastive search
+input_ids = tokenizer(prompt, return_tensors='pt').input_ids
+output = model.generate(input_ids, do_sample=True, temperature=temperature, top_k=top_k, max_length=max_length, num_return_sequences=num_return_sequences, repetition_penalty=repitition_penalty, penalty_alpha=0.6, no_repeat_ngram_size=1, early_stopping=True)
+
+print('\nInput:\n' + 100 * '-')
+print('\033[96m' + prompt + '\033[0m')
+print('\nOutput:\n' + 100 * '-')
+for i in range(len(output)):
+    print('\033[92m' + tokenizer.decode(output[i], skip_special_tokens=True) + '\033[0m\n')
+```
+
+No comma style:
+![constrastive search](./constrastive_search.png)
+
+
+To bring back the commas, assign output without `penalty_alpha` and `no_repeat_ngram_size`:
+```python
+output = model.generate(input_ids, do_sample=True, temperature=temperature, top_k=top_k, max_length=max_length, num_return_sequences=num_return_sequences, repetition_penalty=repitition_penalty, early_stopping=True)
+```
+
+![constrastive search](./contrastive_comma_style.png)

config.json

@@ -0,0 +1,51 @@
+{
+  "_name_or_path": "distilgpt2",
+  "_num_labels": 1,
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 6,
+  "n_positions": 1024,
+  "pad_token_id": 50256,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 76,
+      "temperature": 0.7,
+      "top_k": 4,
+      "repetition_penalty": 1.2,
+      "early_stopping": true
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.2",
+  "use_cache": true,
+  "vocab_size": 50257
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e03360bc4c5d7fe24eff02a265fbb9b97e84c752a20366bbfc5b2fc7ccd5e557
+size 333950622

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f54520576e1012e0b9f620631732e32c7cf827e020bae142e886c1f9500e371
+size 333969117

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e929da9add7e721ae081565ee200a8fa3a1c95320080adb428ab0da5e45963b
+size 3311