Text-to-Image
Diffusers
Safetensors
MiniMax H3
Pruna AI
English
image-to-image
image-generation
image-editing
prompt-upsampling
modular-diffusers
Instructions to use PrunaAI/P-H3-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PrunaAI/P-H3-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PrunaAI/P-H3-Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Pruna AI
How to use PrunaAI/P-H3-Image with Pruna AI:
from pruna import PrunaModel pip install -U diffusers transformers accelerate
from pruna import PrunaModel import torch # switch to "mps" for apple devices pipe = PrunaModel.from_pretrained("PrunaAI/P-H3-Image", dtype=torch.bfloat16, device_map="cuda") 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
File size: 696 Bytes
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Copyright 2026 Pruna AI
The files in this repository were modified by Pruna AI.
transformer/, vae/, text_connector/ and text_encoder/
p-h3-image, based on MiniMax-H3 by MiniMax (https://huggingface.co/MiniMaxAI/MiniMax-H3), under the MiniMax H3
Community License Agreement, see LICENSE. The text encoder is also based on Qwen3-VL-4B by the Qwen team
(https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct); its Qwen3-VL-4B parts are under the Apache License 2.0, see
LICENSE-APACHE.
prompt_upsampler/
The p-h3-image prompt upsampler, based on Qwen3.5-9B by the Qwen team (https://huggingface.co/Qwen/Qwen3.5-9B),
under the Apache License 2.0, see LICENSE-APACHE.
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