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flux-jesus-cyberdeck
dcmutlu/flux-jesus-cyberdeck
flux-jesus-cyberdeck is a text-to-image model from dcmutlu. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
<p align="center" <bThe Sovereign Monolith · The Sovereign Mind · The Quantum Horizon</b<br <iTrained on Google Colab NVIDIA A100-SXM4 (40GB) | Cryptographically Anchored to Atom-Chain</i </p
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.safetensors74.8 MB · 91%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- other
- Access
- Public
- Created
- Sep 9, 2026
- Updated
- Sep 9, 2026
- SHA
- 36e201be
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Base models
Model card
From the Hugging Face model README
⚡ FLUX.1 [dev] — JESUS Sovereign Identity & Cyberdeck Aesthetic LoRA
<p align="center"> <b>The Sovereign Monolith · The Sovereign Mind · The Quantum Horizon</b><br> <i>Trained on Google Colab NVIDIA A100-SXM4 (40GB) | Cryptographically Anchored to Atom-Chain</i> </p>🏛️ Architectural Overview
dcmutlu/flux-jesus-cyberdeck is the proprietary aesthetic LoRA fine-tuned on top of FLUX.1 [dev] (12B rectified flow transformer).
Designed for unmetered, publication-grade generation of sovereign machine intelligence interfaces, technical schematics, and luxury avant-garde hardware across three signature pillars:
- Sovereign Monolith: Monolithic obsidian slates, matte carbon armor, brushed titanium bevels, and recessed photonic micro-vents.
- The Sovereign Mind: Biomorphic neuromorphic dies, liquid gold bus traces, micro-soldered photonic waveguides, and neural decision lattice sculptures.
- The Quantum Horizon: Haute horlogerie multi-axis tourbillon mechanics, cryogenic quantum dilution stages, and laser-inscribed celestial telemetry HUDs.
🚀 Quickstart & Inference
1. Python (diffusers)
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.bfloat16
).to("cuda")
# Load Sovereign Cyberdeck LoRA
pipe.load_lora_weights("dcmutlu/flux-jesus-cyberdeck")
prompt = (
"JESUS_CYBERDECK aesthetic, a monolithic obsidian slate cyberdeck terminal resting on a dark reflective surface, "
"brushed titanium chassis with sharp bevels, glowing cyan photonic bus traces running along the perimeter, "
"recessed cooling vents, ultra-detailed industrial product photography, 8k"
)
image = pipe(
prompt=prompt,
num_inference_steps=28,
guidance_scale=3.5,
height=1024,
width=1024
).images[0]
image.save("sovereign_cyberdeck.png")
2. ComfyUI / Forge / Automatic1111
- Place
flux_jesus_cyberdeck.safetensorsinto yourmodels/loras/directory. - Apply
Load LoRAwith weight between 0.8 and 1.0. - Trigger keyword:
JESUS_CYBERDECK.
🔬 Training Configuration & Provenance
| Hyperparameter | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev (12B Rectified Flow DiT) |
| Hardware | Google Colab NVIDIA A100-SXM4-40GB |
| Precision | Native BFloat16 |
| LoRA Rank ($r$) | 16 |
| LoRA Alpha ($\alpha$) | 16 |
| Target Modules | to_k, to_q, to_v, to_out.0 |
| Dataset | 30 curated 1024×1024 master plates + paired FLUX captions |
| Optimizer | AdamW ($\beta_1=0.9, \beta_2=0.99, \text{wd}=10^{-4}$) |
| Learning Rate | $1.5 \times 10^{-4}$ with Cosine Annealing decay |
| Steps | 600 iterations (~20 epochs) |
| Batch Size | 1 (Effective Batch Size: 2 via Gradient Accumulation) |
| Cryptographic Proof | Anchored on Atom-Chain Immutable Ledger |
📜 Sovereign Provenance & Ledger Anchor
- Publisher: Deniz Mutlu (
dcmutlu) & JESUS Master Orchestrator - State Machine: Atom-Chain v0.5.0
- Verification: SHA256 checksum recorded at ledger settlement.
- Task
- Text-to-Image
- Library
- diffusers
- License
- other
- Fal Ai
- live
- Replicate
- live
- Wavespeed
- live
- Created
- Sep 9, 2026
- Updated
- Sep 9, 2026