muverqqw
/

DreamCoil-Spectra

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 library_name: diffusers
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 ---
 library_name: diffusers
+license: apache-2.0
+language:
+- ru
+- en
+- zh
+base_model:
+- Tongyi-MAI/Z-Image
 ---
+![DreamCoil Spectra Banner](banner.png)
+# DreamCoil Spectra: The Next Generation of Aesthetic Diffusion
+DreamCoil Spectra represents a landmark shift in the DreamCoil ecosystem, developed by **IceL1ghtning**(**muverqqw**). This model marks our transition from the traditional U-Net structures of the SDXL era to a high-performance **Diffusion Transformer (DiT)** backbone, utilizing the **Z-Image architecture**.
+Spectra has been meticulously trained to inherit and refine the iconic, ethereal, and minimalist aesthetic of the original DreamCoil Family, delivering superior structural integrity and artistic coherence.
+---
+## 💎 Key Improvements & Architectural Evolution
+### 1. The Power of Diffusion Transformers (DiT)
+By moving to a Z-Image (DiT) base, Spectra overcomes many limitations of previous convolutional models:
+*   **Superior Spatial Intelligence:** The self-attention mechanism ensures that anatomy and complex compositions remain consistent across the entire canvas.
+*   **Contextual Depth:** Transformers process prompts with a deeper "understanding" of relational keywords, resulting in significantly better prompt adherence.
+*   **Global Cohesion:** Unlike U-Nets that process images in blocks, DiT treats the entire latent space as a sequence, leading to more harmonious color transitions and lighting.
+### 2. Preserving the "DreamCoil" Legacy
+Despite the change in architecture, we have gone to great lengths to ensure the soul of the series remains intact. Spectra specializes in:
+*   **Ethereal Minimalism:** Clean backgrounds and soft, purposeful color palettes.
+*   **Advanced Character Design:** Vibrant, stylized hair (like the signature pink hues) and expressive, clean-line facial features.
+*   **Artistic Versatility:** From minimalist vector-style art to dream-like, atmospheric landscapes.
+### 3. T4/P100 Optimization (The Custom Pipeline)
+One of the biggest challenges with DiT models is their resource consumption. IceLightning has developed a specialized **Custom Inference Pipeline** to make this model accessible to everyone:
+*   **VRAM Efficiency:** Specifically tuned to run on NVIDIA Tesla T4 (Google Colab) and P100 (Kaggle) without crashing.
+*   **Memory Offloading:** The pipeline manages weight loading dynamically to keep the peak memory footprint below 12GB during high-resolution generation.
+---
+## 🚀 Getting Started (Custom Pipeline)
+To take full advantage of the memory optimizations and the Z-Image architecture, use the custom handler included in this repository.
+### Installation
+```bash
+pip install torch torchvision diffusers transformers accelerate
+```
+### Inference Script
+```python
+import torch
+from diffusers import DiffusionPipeline
+# Load the model with the specialized DreamCoil Spectra Pipeline
+model_id = "muverqqw/DreamCoil-Spectra"
+pipe = DiffusionPipeline.from_pretrained(
+    model_id,
+    custom_pipeline="muverqqw/DreamCoil-Spectra", # Optimized for T4/P100 stability
+    torch_dtype=torch.float16,
+    use_safetensors=True
+)
+pipe.to("cuda")
+# Recommended for users with 16GB VRAM or less (T4/P100)
+pipe.enable_model_cpu_offload()
+pipe.enable_vae_tiling()
+prompt = "your positive prompt here"
+negative_prompt = "your negative prompt here"
+image = pipe(
+    prompt=prompt,
+    negative_prompt=negative_prompt,
+    num_inference_steps=30,
+    guidance_scale=7.0,
+    width=1024,
+    height=1024
+).images[0]
+image.save("spectra_masterpiece.png")
+```
+---
+## 🎨 Recommended Settings
+* **Native Resolution:** 1024x1024 or 768x1152.
+* **Aspect Ratios:** Supports 16:9 and 9:16 due to the flexible nature of DiT.
+* **Sampler:** Simple.
+* **Steps:** 8-9.
+* **CFG Scale:** 1.0.
+---
+## 🔗 The DreamCoil Ecosystem
+If you are looking for our previous Stable Diffusion XL based models, you can find them here:
+* [DreamCoil v1.0 (SDXL)](https://huggingface.co/muverqqw/DreamCoil-V1.0) — The pinnacle of our U-Net based series.
+* [DreamCoil Collection](https://huggingface.co/collections/muverqqw/dreamcoil) — Explore Checkpoints.
+---
+## ⚖️ License & Credits
+DreamCoil Spectra was created and fine-tuned by **IceL1ghtning (@muverqqw)**.
+This model is released under the **Apache-2.0 license**.