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: 547 Bytes
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"_class_name": "MiniMaxH3Transformer3DModel",
"_diffusers_version": "0.42.0.dev0",
"attention_head_dim": 128,
"audio_in_channels": 32,
"ffn_dim": 14336,
"final_norm_eps": 1e-05,
"freq_dim": 256,
"hidden_size": 5376,
"in_channels": 24,
"norm_eps": 1e-05,
"num_attention_heads": 56,
"num_layers": 50,
"num_refiner_layers": 2,
"patch_size": [
1,
2,
2
],
"qk_norm_eps": 1e-05,
"rope_freq_dim": 16,
"rope_theta": 10000.0,
"text_dim": 5120,
"time_embed_dim": 2688,
"time_embed_hidden_dim": 5376
}
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