Image-to-Image
Transformers
Safetensors
in-image-machine-translation
image-translation
image-editing
multimodal
qwen2.5-vl
flux
Instructions to use SeerRay-Lab/Unitranslator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeerRay-Lab/Unitranslator with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-image" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-image", model="SeerRay-Lab/Unitranslator")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SeerRay-Lab/Unitranslator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,884 Bytes
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"architectures": [
"MaskTFUnivaQwen2p5VLForConditionalGeneration"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"denoise_tower": {
"denoise_projector_type": "mlp2x_gelu",
"denoiser_config": {
"_class_name": "FluxTransformer2DModel",
"_diffusers_version": "0.34.0.dev0",
"_name_or_path": "../checkpoints/flux-dev/transformer",
"attention_head_dim": 128,
"axes_dims_rope": [
16,
56,
56
],
"guidance_embeds": true,
"in_channels": 64,
"joint_attention_dim": 4096,
"num_attention_heads": 24,
"num_layers": 19,
"num_single_layers": 38,
"out_channels": null,
"patch_size": 1,
"pooled_projection_dim": 768
},
"denoiser_type": "flux",
"fusion_layer_ff_dim_mult": 4,
"fusion_layer_num_heads": 16,
"input_hidden_size": 2048,
"model_type": "univa_denoise_tower",
"output_hidden_size": 4096
},
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 2048,
"image_begin_token_id": 151652,
"image_end_token_id": 151653,
"image_token_id": 151655,
"image_token_length": null,
"initializer_range": 0.02,
"intermediate_size": 11008,
"mask_tower_config": {
"input_hidden_size": 2048,
"intermediate_channels": [
1280,
640,
320
],
"mgm_dev_convs_nums": 4,
"mgm_head_num": 8,
"mgm_hidden_size": 768,
"mgm_layer_num": 2,
"model_type": "univa_mask_tower",
"output_channels": 1,
"torch_dtype": "float16",
"upsample_scale": 16
},
"max_position_embeddings": 128000,
"max_window_layers": 70,
"model_type": "univa_qwen2p5vl",
"num_attention_heads": 16,
"num_hidden_layers": 36,
"num_key_value_heads": 2,
"rms_norm_eps": 1e-06,
"rope_scaling": {
"mrope_section": [
16,
24,
24
],
"rope_type": "default",
"type": "default"
},
"rope_theta": 1000000.0,
"shortcut_image_embeds": false,
"shortcut_image_embeds_scale": 0.5,
"shortcut_projector_type": null,
"sliding_window": 32768,
"tie_word_embeddings": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.50.0",
"use_cache": true,
"use_sliding_window": false,
"video_token_id": 151656,
"vision_config": {
"depth": 32,
"fullatt_block_indexes": [
7,
15,
23,
31
],
"hidden_act": "silu",
"hidden_size": 1280,
"in_channels": 3,
"in_chans": 3,
"intermediate_size": 3420,
"model_type": "qwen2_5_vl",
"num_heads": 16,
"out_hidden_size": 2048,
"patch_size": 14,
"spatial_merge_size": 2,
"spatial_patch_size": 14,
"temporal_patch_size": 2,
"tokens_per_second": 2,
"torch_dtype": "float16",
"window_size": 112
},
"vision_end_token_id": 151653,
"vision_start_token_id": 151652,
"vision_token_id": 151654,
"vocab_size": 151936
}
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