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Model: aifeifei798/Qwen3-1.7B-Flux-Prompt
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- qwen
+- qwen3
+- unsloth
+- decision-making
+- strategic-analysis
+- cognitive-architecture
+- chat
+- philosophy-driven-ai
+pipeline_tag: text-generation
+base_model:
+  - Qwen/Qwen3-1.7B
+datasets:
+  - ABDALLALSWAITI/flux_prompt
+---
+
+---
+
+### Thanks mradermacher: For creating the GGUF versions of these models
+
+https://huggingface.co/mradermacher/Qwen3-1.7B-Flux-Prompt-GGUF
+
+https://huggingface.co/mradermacher/Qwen3-1.7B-Flux-Prompt-i1-GGUF
+
+---
+
+# Qwen3-1.7B-Flux-Prompt
+
+**Turn simple words into professional Flux.1 image prompts instantly.**
+
+This is a fine-tuned version of **Qwen3-1.7B-Instruct**, specialized in expanding short concepts into detailed, high-quality descriptions optimized for **Flux.1** image generation models.
+
+## ✨ Key Features
+
+*   **🚀 Lightweight & Fast**: Based on the 1.7B model, it runs extremely fast even on older GPUs or CPU.
+*   **🧠 "Invisible" System Prompt**: The specialized system prompt is **baked into the `tokenizer_config.json`**. You don't need to type complex instructions. Just input `a cat`, and it outputs the full prompt automatically.
+*   **🎨 Non-Conversational**: It doesn't chat. It doesn't say "Here is your prompt". It only outputs the raw prompt, ready for your stable diffusion pipeline.
+*   **✅ Validated Quality**: Tested thoroughly for diversity and detail (see examples below).
+
+---
+
+## 🖼️ Examples
+
+**Input:** `a sexy model at home bed`
+
+**Output (Generated by this model):**
+> a sexy model at home bed, close-up shot of a woman lying on a luxurious velvet bed with soft golden lighting, elegant floral decor, minimalist modern furniture, subtle candlelight flicker, realistic textures, sensual atmosphere, high-quality photography, dramatic shadows, and a calm yet intimate mood.
+
+---
+
+## 💻 How to Use
+
+### Method 1: Python (Transformers)
+
+Since the system prompt is integrated, the usage is extremely simple:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "aifeifei798/Qwen3-1.7B-Flux-Prompt" # Replace with your actual repo name
+
+# Load the tokenizer and the model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+
+def generate_flux_prompt(prompt):
+    
+    messages = [{"role": "user", "content": prompt}]
+
+    # Applying the template
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True,
+        # enable_thinking=False
+    )
+    
+    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+    
+    # Generation with optimized parameters for Flux prompting
+    generated_ids = model.generate(
+        **model_inputs,
+        max_new_tokens=512,      # [Key] 512 tokens are sufficient for a detailed visual description.
+        do_sample=True,          # [Required] Enable sampling to allow for creative variations.
+        temperature=0.7,         # [Creativity] 0.7 offers a balance between imaginative detail and coherence.
+        top_p=0.9,               # [Focus] Nucleus sampling: filters out very unlikely words.
+        top_k=50,                # [Stability] Limits vocabulary to top 50 tokens to prevent hallucinations.
+        repetition_penalty=1.15,  # [Variety] Slight penalty to reduce repetitive phrases without breaking grammar.
+        no_repeat_ngram_size=3, 
+    )
+    
+    # Extracting the newly generated tokens only
+    output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist() 
+    
+    # Parsing logic to handle potential reasoning content (if using a reasoning-capable base model)
+    # Looks for the </think> token ID (usually 151668 in Qwen architecture)
+    try:
+        index = len(output_ids) - output_ids[::-1].index(151668)
+    except ValueError:
+        index = 0 # No thinking trace found, output starts from the beginning
+
+    # Decode the final prompt
+    # thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip()
+    content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip()
+    
+    return content
+
+# Example Usage
+# if __name__ == "__main__":
+    # user_input = "a sexy model at new york"
+    # print(f"Input: {user_input}\n")
+    # print(f"Generated Flux Prompt:\n{generate_flux_prompt(user_input)}")
+```
+
+---
+
+## 🔧 Training Details
+
+*   **Base Model:** Qwen/Qwen3-1.7B-Instruct
+*   **Dataset:** `flux_prompt` (Alpaca format)
+*   **Fine-tuning Framework:** Unsloth
+*   **Configuration:** 
+    *   `temperature`: 0.7 (Recommended)
+    *   `repetition_penalty`: 1.05 - 1.1 (Recommended)
+
+---
+
+### 💡 Tips for Users
+
+*   **Keep it Simple:** The model thrives on simple inputs like "a girl in rain" or "futuristic car".
+*   **Sampling:** Always use `do_sample=True` with `temperature` around 0.7 to get diverse results every time you run it.
+

added_tokens.json

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+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.57.1"
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+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- set flux_system_prompt = \"You are an AI assistant specialized in generating high-quality prompts for Flux image generation. Output the prompt ONLY. Do not output any introduction or conversational text.\" %}{{- '<|im_start|>system\\n' + flux_system_prompt + '<|im_end|>\\n' }}{%- for message in messages %}{%- if message.role == \"system\" and loop.first %}{# Skip the first system message from input because we forced the Flux prompt at the top #}{%- else %}{{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>\\n' }}{%- endif %}{%- endfor %}{%- if add_generation_prompt %}{{- '<|im_start|>assistant\\n' }}{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}