README.md

metadata

title: DreamBoat
emoji: ⛵
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 5.31.0
app_file: app.py
pinned: false
license: apache-2.0
tags:
  - flux
  - kontext
  - character-training
  - nsfw
  - lgbtq

DreamBoat

Character training image generator for consistent AI characters. Companion to PrideWAN.

Uses FLUX.1-Kontext to maintain character identity across varied poses, angles, lighting, and content levels. Generate 15-25 training images, download as a zip, and train your character LoRA with ai-toolkit.

The three tabs

1. Norma Jean (Identity) — FLUX.1-Kontext-dev. Upload one reference photo and generate identity-consistent variations (angles, lighting, outfits, shirtless). Kontext holds the face/body across scenes.
2. Marilyn (Explicit) — FLUX.1-dev img2img with NSFW LoRAs. Take a Norma Jean shot and transform it; FLUX.1-dev's lighter safety training lets the NSFW LoRAs work. Use the Character Description box + Transformation Strength 0.75-0.85 to keep the face.
3. Street Pack (Batch) — one reference photo in, a full set of candid social-media-style identity shots out, dropped into the gallery live.

A Realism LoRA runs on both pipelines and a Candid toggle appends an iPhone/handheld/natural-grain suffix — both fight the plastic "obviously AI" FLUX look.

Setup

This Space uses two gated base models. Before it will boot, accept terms for both (one click each, with the same HF account whose token you add as a Space secret):

1. black-forest-labs/FLUX.1-Kontext-dev
2. black-forest-labs/FLUX.1-dev

Then add your HuggingFace token as a Space secret named HF_TOKEN.

The NSFW and realism LoRAs are public (no terms to accept): Heartsync/Flux-NSFW-uncensored, lustlyai/Flux_Lustly.ai_Uncensored_nsfw_v1, and Shakker-Labs/FLUX.1-dev-LoRA-add-details.

How It Works

1. Upload one clear reference photo of your character
2. Use presets or write prompts describing the variation you want
3. Kontext maintains identity from the reference while generating the new pose/angle/scene
4. Collect 15-25 varied images into the training set
5. Download as a zip, ready for ai-toolkit LoRA training

Training Set Tips

A good training set includes:

• 5 face close-ups (varied angles and lighting)
• 5 upper body / torso shots
• 5 full body shots (varied poses)
• 5+ explicit / anatomical shots (if training for NSFW content)
• Simple, solid backgrounds throughout

Credits

• FLUX.1-Kontext-dev and FLUX.1-dev by Black Forest Labs
• NSFW LoRAs by Heartsync and lustlyai
• Realism LoRA (add-details) by Shakker-Labs
• Built for the PrideWAN ecosystem