Text-to-Image
MiniMax H3
Diffusers
Safetensors
English
image-to-image
image-editing
image-generation
Instructions to use MiniMaxAI/MiniMax-H3-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MiniMaxAI/MiniMax-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("MiniMaxAI/MiniMax-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
Q&A About the License
pinnedโค๏ธ๐ 12
2
#3 opened about 21 hours ago
by
ryanlee-dev
error with demo
#11 opened about 2 hours ago
by
witcherderivia
The results using the BF16 model with the full text encoder are pretty good.
#10 opened about 3 hours ago
by
fengjunwei
Test, comparison with the original MiniMax H3
๐ 5
#9 opened about 4 hours ago
by
Pvok
Is there a workflow planned transferring latent embeddings for image to video?
#7 opened about 7 hours ago
by
testamentaddress01
Raw weights for LoRA training
๐ 4
1
#6 opened about 16 hours ago
by
stablellama
2 step lora
๐คฏ๐ 6
1
#5 opened about 19 hours ago
by
akhaliq
Thanks!
๐โค๏ธ 6
2
#4 opened about 21 hours ago
by
Dunc4n1dah0