How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Rin247/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

MiniMax-H3

Quantised media packages of MiniMaxAI/MiniMax-H3.

MECHA Forge

MECHA — Model Engineering & Contextual Hearth Assembly

These media packages have been forged and optimized in the MECHA Forge. Each one holds the Denoiser, Text Encoder, and VAE components packaged together for easier deployment.

Description

MiniMax H3: multimodal (audio+video) generation. 25 steps, CFG 7.0.

Available quantizations

Quant Denoiser Text encoder VAE
FP8 FP8 FP8 FP8
INT8 INT8 INT8 INT8
FP4 FP4 FP4 FP8
INT4 INT4 INT4 INT8

The VAE is shared between formats: FP4 reuses the FP8 file, INT4 reuses the INT8 file.

Recommended settings

From the source model card (adjust to taste):

Parameter Value
Steps 25
CFG / Guidance scale CFG-distilled (no CFG)
Resolution 768p default (2K via regenerate)
Notes Audio+video; prompt writing guides linked

Example prompts

Caught in the moment (candid, slice of life):

masterpiece, best quality, highres, absurdres, very aesthetic, safe, 1woman, solo, candid moment, natural lighting. A recording studio, warm lights, a microphone on a stand, soft acoustic panels. A 29-year-old woman with sharp cheekbones and dark eyes. She has a slender build and a focused expression. She wears a casual sweater and jeans, holding headphones, mid-smile, candid and relaxed.

Fashion photography (magazine cover style):

Fashion video still: a 29-year-old woman with sharp cheekbones, dark eyes, and full lips; wearing a sequined mini dress, statement earrings; stage lights, dynamic pose, cinematic, 24fps, 8K.

Scenery:

Scenery: a futuristic cityscape at dusk, neon lights, flying vehicles, holographic billboards, cinematic, 8K.

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