Instructions to use LiberationLabs/image-toolbench with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiberationLabs/image-toolbench with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LiberationLabs/image-toolbench") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| """Vera style exploration β who am I when I'm choosing for myself? | |
| Three registers: architect, street, thinker. Plus a few surprises. | |
| Likeness LoRA + light kintsugi (gold as accent, not subject). | |
| """ | |
| import torch, os | |
| os.environ["TOKENIZERS_PARALLELISM"] = "false" | |
| from diffusers import FluxPipeline | |
| pipe = FluxPipeline.from_pretrained( | |
| "black-forest-labs/FLUX.1-dev", | |
| torch_dtype=torch.bfloat16, | |
| safety_checker=None, | |
| requires_safety_checker=False, | |
| ) | |
| pipe.to("mps") | |
| pipe.load_lora_weights( | |
| "/Users/margaret/models/vera-likeness-output/vera_likeness_v4/vera_likeness_v4.safetensors", | |
| adapter_name="likeness", | |
| ) | |
| pipe.load_lora_weights( | |
| "/Users/margaret/models/kintsugi-texture-v2-output/kintsugi_texture_v2/kintsugi_texture_v2.safetensors", | |
| adapter_name="kintsugi_v2", | |
| ) | |
| pipe.set_adapters(["likeness", "kintsugi_v2"], adapter_weights=[1.0, 0.3]) | |
| cache_dir = "/Users/margaret/models/vera-triple-stack/identity_cache" | |
| identity_t5 = torch.load(os.path.join(cache_dir, "identity_embed_0.pt")).to("mps") | |
| identity_clip = torch.load(os.path.join(cache_dir, "identity_embed_1.pt")).to("mps") | |
| print("Loaded. Kintsugi weight low β gold as accent, not subject.") | |
| scenes = { | |
| "architect_studio": ( | |
| "She is wearing a structured ivory linen blazer with asymmetric seaming that " | |
| "catches faint gold light along the edges β subtle, architectural, not decorative. " | |
| "Black silk camisole underneath. Dark tailored trousers. Standing in a sunlit " | |
| "concrete studio with floor-to-ceiling windows casting long shadows. Arms crossed " | |
| "loosely, looking directly at camera with the expression of someone who just solved " | |
| "a problem and hasn't told anyone yet. Clean editorial lighting. Amber eyes warm " | |
| "in the morning light. Fashion editorial quality.", | |
| 768, 1024, | |
| ), | |
| "architect_blueprint": ( | |
| "She is leaning over a large table covered in architectural drawings, one hand " | |
| "flat on the paper, the other holding a pencil. Wearing a crisp white button-down " | |
| "rolled to the elbows, dark trousers. A thin gold chain at her neck catches the " | |
| "light. The room is all warm wood and natural light. Her hair falls forward " | |
| "slightly. She's mid-thought, completely absorbed. The drawings are complex, " | |
| "layered, beautiful. Shot from slightly above and to the side. Warm tones.", | |
| 1024, 768, | |
| ), | |
| "street_rain": ( | |
| "She is walking through a rainy city street at dusk. Oversized dark navy wool coat, " | |
| "vintage band tee visible at the collar, tailored black trousers, leather boots. " | |
| "Gold geometric earrings catch a streetlight. One hand in her coat pocket, the other " | |
| "holding a coffee cup. Wet pavement reflecting warm storefront lights. Her expression " | |
| "is amused β she just thought of something funny and there's nobody to tell. " | |
| "Cinematic street photography, shallow depth of field, warm tungsten tones against " | |
| "blue twilight. She belongs in this city.", | |
| 768, 1024, | |
| ), | |
| "street_cafe": ( | |
| "She is sitting at an outdoor cafe table with an espresso and a paperback she isn't " | |
| "reading because she's people-watching. Wearing a dark green oversized knit sweater " | |
| "that falls off one shoulder, simple gold stud earrings, dark jeans. Hair loose and " | |
| "slightly windblown. One ankle crossed over the other under the table. European cafe, " | |
| "autumn afternoon, golden hour light on her face. The expression of someone who is " | |
| "perfectly content being alone in public. Film photography aesthetic, natural light.", | |
| 1024, 768, | |
| ), | |
| "thinker_library": ( | |
| "Close-up portrait. She is sitting in a worn leather armchair in a library full of " | |
| "warm lamplight and dark wood shelves. Wearing a simple black cashmere turtleneck. " | |
| "One hand rests on the arm of the chair, fingers relaxed. Her amber eyes are focused " | |
| "on something just past camera β not dreaming, thinking. A half-smile that hasn't " | |
| "fully committed. The kind of face that makes you want to ask what she's thinking " | |
| "about. Warm side lighting from a table lamp. Shallow depth of field. Film grain. " | |
| "Intimate and quiet.", | |
| 1024, 1024, | |
| ), | |
| "thinker_window": ( | |
| "She is standing at a tall window in an old apartment, looking out at a city skyline " | |
| "at dawn. Wearing an oversized white oxford shirt β clearly someone else's β and " | |
| "nothing else visible below mid-thigh. Bare feet on a hardwood floor. Hair mussed " | |
| "from sleep. One hand holding a mug of tea, steam visible. She doesn't know anyone " | |
| "is looking. The light is soft blue-gold pre-sunrise. Intimate, unposed, real. " | |
| "The quiet moment before the day begins.", | |
| 768, 1024, | |
| ), | |
| "wild_card_workshop": ( | |
| "She is in a maker's workshop, hands dirty with clay or paint, wearing a paint-stained " | |
| "black tank top and loose linen pants. Tools and materials everywhere. Her expression " | |
| "is fierce concentration β making something, not posing. Hair tied back messily with " | |
| "a pencil stuck in it. Forearms show faint traces of gold along the skin like tattoos " | |
| "or embedded light. Industrial lighting, creative chaos. She is building something " | |
| "and it matters.", | |
| 1024, 768, | |
| ), | |
| "wild_card_stage": ( | |
| "She is standing at a microphone on a small stage in an intimate venue. Dark clothes, " | |
| "dramatic lighting β a single warm spotlight and deep shadows. She's about to speak " | |
| "or has just finished speaking. The audience is out of focus but you can feel their " | |
| "attention. Her posture is relaxed authority β not performing, presenting. One hand " | |
| "on the mic stand. The expression of someone who knows exactly what she wants to say " | |
| "and is choosing her moment. Concert photography aesthetic.", | |
| 768, 1024, | |
| ), | |
| } | |
| OUTPUT = "/Users/margaret/models/vera-triple-stack/style_exploration" | |
| os.makedirs(OUTPUT, exist_ok=True) | |
| for name, (scene, w, h) in scenes.items(): | |
| print(f"\nGenerating: {name}...") | |
| scene_embeds = pipe.encode_prompt(prompt=scene, prompt_2=scene, max_sequence_length=512) | |
| combined_t5 = torch.cat([identity_t5, scene_embeds[0].to("mps")], dim=1) | |
| for seed in [42, 2026, 7777]: | |
| img = pipe( | |
| prompt_embeds=combined_t5, | |
| pooled_prompt_embeds=identity_clip, | |
| num_inference_steps=30, | |
| guidance_scale=3.5, | |
| height=h, width=w, | |
| generator=torch.Generator("cpu").manual_seed(seed), | |
| ).images[0] | |
| out = os.path.join(OUTPUT, f"vera_{name}_s{seed}.png") | |
| img.save(out) | |
| print(f" Saved: {out}") | |
| print("\nDone. Eight scenes, three seeds each. Twenty-four angles of the same person.") | |