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Danimls_model/Loras/daniml_V2_Astronaut.safetensors

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Danimls_model/Loras/daniml_V2_alpaca.safetensors

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Danimls_model/Loras/daniml_V2_badger.safetensors

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Danimls_model/Loras/daniml_V2_cryptonerdV2.safetensors

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Danimls_model/Loras/daniml_V2_fox.safetensors

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Danimls_model/Loras/daniml_V2_gangsterV2.safetensors

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Danimls_model/Loras/daniml_V2_hazmat.safetensors

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Danimls_model/Loras/daniml_V2_katana.safetensors

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Danimls_model/Loras/daniml_V2_lowpoly.safetensors

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Danimls_model/Loras/daniml_V2_mech.safetensors

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Danimls_model/Loras/daniml_V2_monkey.safetensors

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Danimls_model/Loras/daniml_V2_pig.safetensors

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Danimls_model/Loras/daniml_V2_pistol.safetensors

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Danimls_model/Loras/daniml_V2_rat.safetensors

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Danimls_model/Loras/daniml_V2_samurai.safetensors

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Danimls_model/Loras/daniml_V2_wizard.safetensors

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Danimls_model/Loras/daniml_background.safetensors

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Danimls_model/README.md

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+
+# DANIMLS-V1: Stylized Cyberpunk Animal Generator
+
+**Creator**: [@Bootz_of_Truth](https://x.com/Bootz_of_Truth)  
+**Hosted via**: [Modelz / Alpaca Network](https://modelz.io/CryptoBootz/Danimls-V1)
+
+---
+
+## 🔧 Model Description
+
+DANIMLS-V1 is a stylized **text-to-image Stable Diffusion pipeline** trained on custom anthropomorphic animal art in a **cyberpunk Tokyo aesthetic**, using multiple LoRA adapters for species, background, and outfit styles.
+
+- **Base Model**: `runwayml/stable-diffusion-v1-5`
+- **LoRA Format**: `.safetensors`
+- **Framework**: `diffusers`, `transformers`, `torch`, `xformers`
+- **Precision**: `float32` for CPU testing, `float16` for GPU deployment
+- **Safety Checker**: Disabled (filtered via LoRA style constraints)
+
+---
+
+## 🧩 LoRAs Included
+
+- Animals:
+  - `daniml_V2_alpaca.safetensors`
+  - `daniml_V2_badger.safetensors`
+  - `daniml_V2_fox.safetensors`
+  - `daniml_V2_pig.safetensors`
+  - `daniml_V2_rat.safetensors`
+  - `daniml_V2_monkey.safetensors`
+- Background:
+  - `daniml_background.safetensors`
+- Styles:
+  - `daniml_V2_wizard.safetensors`
+  - `daniml_V2_gangsterV2.safetensors`
+  - `daniml_V2_samurai.safetensors`
+  - `daniml_V2_cryptonerdV2.safetensors`
+  - `daniml_V2_lowpoly.safetensors`
+  - `daniml_V2_hazmat.safetensors`
+  - `daniml_V2_mech.safetensors`
+  - `daniml_V2_business.safetensors`
+
+---
+
+## 🧪 Example Inference (Python)
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+pipe = StableDiffusionPipeline.from_pretrained(
+    "./danimls_model",
+    torch_dtype=torch.float32,  # use float16 for GPU
+    safety_checker=None,
+).to("cpu")  # or "cuda" if available
+
+prompt = "stylized anthropomorphic monkey, wizard robe, floating orbs, cyberpunk Tokyo rooftop"
+image = pipe(prompt).images[0]
+image.save("wizard_monkey.png")
+```
+
+---
+
+## ⚖️ License & Intended Use
+
+- **License**: CreativeML Open RAIL-M
+- **Intended Use**: Creative projects, AI art, NFT generation, cyberpunk aesthetics
+- **Not for**: Realism, photo restoration, NSFW content
+
+---
+
+## 🌐 Credits & Hosting
+
+DANIMLS-V1 is deployed through the **Modelz** platform and will be served onchain by **Alpaca Network** once Singularity is reached.
+
+> For more details and to access the Telegram bot, visit: [modelz.io/CryptoBootz/Danimls-V1](https://modelz.io/CryptoBootz/Danimls-V1)

Danimls_model/app.py

@@ -0,0 +1,52 @@
+
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
+from safetensors.torch import load_file
+import torch
+from PIL import Image
+import base64
+import io
+import os
+
+app = FastAPI()
+
+# Initialize the model
+base_model = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(
+    base_model,
+    torch_dtype=torch.float32,
+    safety_checker=None,
+    feature_extractor=None,
+    use_safetensors=True
+).to("cpu")
+
+pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+
+def apply_lora(pipeline, lora_path, weight=0.6):
+    state_dict = load_file(lora_path)
+    compatible = {k: v for k, v in state_dict.items() if k in pipeline.unet.state_dict()}
+    pipeline.unet.load_state_dict(compatible, strict=False)
+
+class GenerationRequest(BaseModel):
+    prompt: str
+    loras: list[str]
+    weights: list[float]
+
+@app.post("/generate")
+def generate_image(request: GenerationRequest):
+    try:
+        for idx, lora_name in enumerate(request.loras):
+            weight = request.weights[idx] if idx < len(request.weights) else 0.6
+            lora_path = os.path.join("loras", lora_name + ".safetensors")
+            if not os.path.exists(lora_path):
+                raise HTTPException(status_code=404, detail=f"LoRA not found: {lora_name}")
+            apply_lora(pipe, lora_path, weight)
+
+        image = pipe(request.prompt, num_inference_steps=30, guidance_scale=7.5).images[0]
+        buffered = io.BytesIO()
+        image.save(buffered, format="PNG")
+        img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
+        return {"image_base64": img_str}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))

Danimls_model/requirements.txt

@@ -0,0 +1,7 @@
+fastapi
+uvicorn
+diffusers
+transformers
+torch
+safetensors
+Pillow

Lora/daniml_V2_Astronaut.safetensors

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Lora/daniml_V2_alpaca.safetensors

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Lora/daniml_V2_badger.safetensors

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Lora/daniml_V2_cryptonerdV2.safetensors

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Lora/daniml_V2_fox.safetensors

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Lora/daniml_V2_gangsterV2.safetensors

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Lora/daniml_V2_hazmat.safetensors

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Lora/daniml_V2_mech.safetensors

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Lora/daniml_V2_monkey.safetensors

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Lora/daniml_V2_pig.safetensors

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Lora/daniml_V2_pistol.safetensors

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Lora/daniml_V2_rat.safetensors

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Lora/daniml_V2_samurai.safetensors

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Lora/daniml_V2_wizard.safetensors

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Lora/daniml_background.safetensors

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alpacabot(Backup).py

@@ -0,0 +1,166 @@
+from telegram import InputMediaPhoto
+
+import os
+import base64
+import random
+from datetime import datetime
+import requests
+from io import BytesIO
+from telegram import Update
+from telegram.ext import ApplicationBuilder, CommandHandler, ContextTypes
+
+BOT_TOKEN = "7584662674:AAGO3YzvG6-bG6nvvBAc_r1Nmr0D8JsUSfY"
+A1111_URL = "http://127.0.0.1:7860"
+
+animal_loras = [
+    ("daniml_V2_alpaca", 0.5),
+    ("daniml_V2_badger", 0.5),
+    ("daniml_V2_fox", 0.5),
+    ("daniml_V2_monkey", 0.5),
+    ("daniml_V2_pig", 0.5),
+    ("daniml_V2_rat", 0.5),
+]
+
+style_traits = {
+    "daniml_V2_gangsterV2": ["black hoodie (hood down)", "sweatpants", "gold chain", "aviators"],
+    "daniml_V2_cryptonerdV2": ["khakis", "crypto hoodie", "vr headset", "smartwatch", "coins"],
+    "daniml_V2_samurai": ["samurai robe", "katana", "shoulder armor", "forearm wrap"],
+    "daniml_V2_Astronaut": ["astronaut suit"],
+    "daniml_V2_hazmat": ["hazmat suit", "cyan biohazard symbol"],
+    "daniml_V2_mech": ["mech suit"],
+    "daniml_V2_lowpoly": ["low poly"]
+}
+
+style_loras = [
+    ("daniml_V2_cryptonerdV2", 0.8),
+    ("daniml_V2_gangsterV2", 0.8),
+    ("daniml_V2_samurai", 0.8),
+    ("daniml_V2_Astronaut", 0.8),
+    ("daniml_V2_lowpoly", 0.8),
+    ("daniml_V2_hazmat", 0.8),
+    ("daniml_V2_mech", 0.65),
+]
+
+background_lora = ("daniml_background", 0.2)
+
+prompt_buckets = [
+    "alley, cracked pavement, graffiti wall, neon kanji signs",
+    "rooftop, vents, loose wires, neon graffiti, skyline haze",
+    "tunnel, cracked tiles, green neon lighting, graffiti everywhere",
+    "alley wall, layered street art, magenta neon glow, wet ground",
+    "rooftop, rusted pipes, green haze, cracked concrete",
+    "alley, vending machine glow, crumbling walls, neon posters",
+    "side street, cracked cement, glowing kanji signs, mist and trash",
+    "alley, graffiti wall both sides, purple lighting, puddles",
+    "Tokyo alley, glowing pink signage, broken pavement, foggy atmosphere",
+]
+
+async def styles(update: Update, context: ContextTypes.DEFAULT_TYPE):
+    await update.message.reply_text(
+        "🧬 Available DANIML Styles:\n"
+        "- Gangster\n"
+        "- Crypto Nerd\n"
+        "- Samurai\n"
+        "- Astronaut\n"
+        "- Hazmat\n"
+        "- Mech Pilot\n"
+        "- Low Poly"
+    )
+
+async def animals(update: Update, context: ContextTypes.DEFAULT_TYPE):
+    await update.message.reply_text(
+        "🦙 Supported Animals:\n"
+        "- Alpaca\n"
+        "- Badger\n"
+        "- Fox\n"
+        "- Monkey\n"
+        "- Pig\n"
+        "- Rat"
+    )
+
+def build_prompt(animal_lora, animal_weight, style_lora, style_weight):
+    background_prompt = random.choice(prompt_buckets)
+    lora_string = f"<lora:{background_lora[0]}:{background_lora[1]}> <lora:{animal_lora}:{animal_weight}>"
+
+    trait_description = ""
+    if style_lora:
+        lora_string += f" <lora:{style_lora}:{style_weight}>"
+        trait_pool = style_traits.get(style_lora, [])
+        selected_traits = trait_pool  # use all traits as core traits
+        trait_description = ", ".join(selected_traits)
+
+    animal_name = animal_lora.replace("daniml_V2_", "")
+    full_prompt = f"{lora_string} cyberpunk anthropomorphic {animal_name}, {trait_description}, {background_prompt}, gritty neon lighting"
+    return full_prompt
+
+async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
+    await update.message.reply_text(
+        "Welcome to DANIML Gen 🦙🔌\n\n"
+        "Your gateway to cyberpunk animal PFPs — each one AI-crafted, neon-lit, and ready to mint.\n\n"
+        "Type /gen to roll the dice.\n"
+        "Type /alpaca if you know what’s good.\n\n"
+        "Drip is eternal. Mint your inner animal.⚡"
+    )
+
+async def generate_image(update: Update, context: ContextTypes.DEFAULT_TYPE, animal_override=None):
+    try:
+        await update.message.reply_text("🛠 Generating your DANIML image set... please wait.")
+        animal_lora, animal_weight = random.choice(animal_loras) if not animal_override else (animal_override, 0.4)
+        style_lora, style_weight = random.choice(style_loras)
+        full_prompt_1 = build_prompt(animal_lora, animal_weight, style_lora, style_weight)
+        full_prompt_2 = build_prompt(animal_lora, animal_weight, style_lora, style_weight)
+        print(f'Prompt 1: {full_prompt_1}')
+        print(f'Prompt 2: {full_prompt_2}')
+        media_group = []
+        files = []
+        for i, prompt in enumerate([full_prompt_1, full_prompt_2]):
+            print(f"[DEBUG] Sending to A1111 at {datetime.now()} - Prompt {i+1}")
+            print(prompt)
+            payload = {
+                "prompt": prompt,
+                "steps": 30,
+                "batch_size": 1,
+                "n_iter": 1,
+                "width": 768,
+                "height": 768,
+            }
+            res = requests.post(f"{A1111_URL}/sdapi/v1/txt2img", json=payload)
+            res.raise_for_status()
+            images = res.json().get("images", [])
+            if not images or not isinstance(images[0], str):
+                await update.message.reply_text("Unexpected image format returned.")
+                return
+            image_base64 = images[0]
+            if image_base64.startswith("data:image"):
+                image_base64 = image_base64.split(",", 1)[1]
+            img_data = base64.b64decode(image_base64)
+            filename = f"output_{i}.png"
+            with open(filename, "wb") as f:
+                f.write(img_data)
+            f = open(filename, "rb")
+            files.append(f)
+            media_group.append(InputMediaPhoto(f))
+        try:
+            await update.message.reply_media_group(media_group)
+        except Exception as e:
+            await update.message.reply_text(f"Send error: {e}")
+        for f in files:
+            f.close()
+    except Exception as e:
+        await update.message.reply_text(f"Error: {e}")
+
+async def gen(update: Update, context: ContextTypes.DEFAULT_TYPE):
+    await generate_image(update, context)
+
+async def alpaca(update: Update, context: ContextTypes.DEFAULT_TYPE):
+    await generate_image(update, context, "daniml_V2_alpaca")
+app = ApplicationBuilder().token(BOT_TOKEN).build()
+app.add_handler(CommandHandler("gen", gen))
+app.add_handler(CommandHandler("alpaca", alpaca))
+app.add_handler(CommandHandler("start", start))
+app.add_handler(CommandHandler("styles", styles))
+app.add_handler(CommandHandler("animals", animals))
+
+
+print("Bot is running...")
+app.run_polling()

bot.py

@@ -0,0 +1,101 @@
+import os
+import base64
+import random
+import requests
+from io import BytesIO
+from telegram import Update
+from telegram.ext import ApplicationBuilder, CommandHandler, ContextTypes
+
+BOT_TOKEN = "7584662674:AAGO3YzvG6-bG6nvvBAc_r1Nmr0D8JsUSfY"
+A1111_URL = "http://127.0.0.1:7860"
+
+# LoRA mappings
+animal_loras = [
+    ("daniml_V2_alpaca", 0.4),
+    ("daniml_V2_badger", 0.4),
+    ("daniml_V2_fox", 0.4),
+    ("daniml_V2_monkey", 0.4),
+    ("daniml_V2_pig", 0.4),
+    ("daniml_V2_rat", 0.4),
+]
+
+style_loras = [
+    ("daniml_V2_cryptonerdV2", 0.6),
+    ("daniml_V2_gangsterV2", 0.6),
+    ("daniml_V2_katana", 0.6),
+    ("daniml_V2_samurai", 0.6),
+    ("daniml_V2_wizard", 0.6),
+]
+
+background_lora = ("daniml_background", 0.2)
+
+prompt_buckets = [
+    "alley, cracked pavement, graffiti wall, neon kanji signs",
+    "rooftop, vents, loose wires, neon graffiti, skyline haze",
+    "tunnel, cracked tiles, green neon lighting, graffiti everywhere",
+    "alley wall, layered street art, magenta neon glow, wet ground",
+    "rooftop, rusted pipes, green haze, cracked concrete",
+    "alley, vending machine glow, crumbling walls, neon posters",
+    "tunnel, graffiti tunnel, magenta and green lighting, steam rising",
+    "side street, cracked cement, glowing kanji signs, mist and trash",
+    "alley, graffiti wall both sides, purple lighting, puddles",
+    "alley, trash-filled floor, glowing drain cover, misty neon signs",
+    "Tokyo alley, glowing pink signage, broken pavement, foggy atmosphere",
+    "narrow street with kanji billboards, cracked concrete, trash piles, cyan glow",
+    "backstreet tunnel, neon reflections on wet tiles, graffiti panels",
+    "rooftop walkway with tagged walls, dim green neon, rusted ducts",
+    "urban stairwell, crumbling cement, layered graffiti, purple lighting",
+    "service alley, flickering green lights, cracked asphalt, torn posters",
+    "subway entrance, steam vents, magenta overhead light, stained tiles",
+    "industrial rooftop, loose cables, glowing vents, Tokyo tower in distance",
+    "graffiti-covered passageway, deep haze, scattered debris, violet lighting",
+    "graffiti tunnel, puddles reflecting red and teal signage, cracked floor"
+]
+
+async def gen(update: Update, context: ContextTypes.DEFAULT_TYPE):
+    try:
+        # Random selections
+        background_prompt = random.choice(prompt_buckets)
+        animal_lora, animal_weight = random.choice(animal_loras)
+        use_style = random.random() < 0.5
+        style_lora, style_weight = random.choice(style_loras) if use_style else (None, 0.0)
+
+        # Compose full LoRA string
+        lora_string = f"<lora:{background_lora[0]}:{background_lora[1]}> <lora:{animal_lora}:{animal_weight}>"
+        if use_style:
+            lora_string += f" <lora:{style_lora}:{style_weight}>"
+
+        # Extract animal name
+        animal_name = animal_lora.replace("daniml_V2_", "")
+
+        # Prompt setup
+        print("🧠 Final prompt:", full_prompt)
+        full_prompt = f"{lora_string} cyberpunk anthropomorphic {animal_name}, {background_prompt}, gritty neon lighting"
+        payload = {
+            "prompt": full_prompt,
+            "steps": 30,
+            "width": 768,
+            "height": 768,
+        }
+
+        res = requests.post(f"{A1111_URL}/sdapi/v1/txt2img", json=payload)
+        res.raise_for_status()
+        images = res.json()["images"]
+        if not images:
+            await update.message.reply_text("Generation failed. No image returned.")
+            return
+
+        # Decode and send first image
+        img_data = base64.b64decode(images[0])
+        with open("output.png", "wb") as f:
+            f.write(img_data)
+        await update.message.reply_photo(photo=open("output.png", "rb"))
+
+    except Exception as e:
+        await update.message.reply_text(f"Error: {e}")
+
+app = ApplicationBuilder().token(BOT_TOKEN).build()
+app.add_handler(CommandHandler("gen", gen))
+
+print("Bot is running...")
+app.run_polling()