Text-to-Image
Diffusers
Safetensors
ErnieImagePipeline
ernie-image
sdnq
quantized
uint4
static
quantized-matmul
Instructions to use WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static", 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
- Draw Things
- DiffusionBee
| { | |
| "architectures": [ | |
| "Mistral3Model" | |
| ], | |
| "dtype": "bfloat16", | |
| "image_token_index": 10, | |
| "model_type": "mistral3", | |
| "multimodal_projector_bias": false, | |
| "projector_hidden_act": "gelu", | |
| "quantization_config": { | |
| "add_skip_keys": false, | |
| "dequantize_fp32": false, | |
| "dynamic_loss_threshold": null, | |
| "group_size": 0, | |
| "is_integer": true, | |
| "is_training": false, | |
| "modules_dtype_dict": {}, | |
| "modules_quant_config": {}, | |
| "modules_to_not_convert": [ | |
| ".img_out", | |
| ".proj_out", | |
| ".emb_in", | |
| ".final_layer", | |
| "patch_embed", | |
| "language_model.norm", | |
| ".time_embed", | |
| "multi_modal_projector", | |
| ".condition_embedder", | |
| ".t_embedder", | |
| "wte", | |
| "lm_head", | |
| ".txt_out", | |
| "time_text_embed", | |
| ".context_embedder", | |
| ".txt_in", | |
| ".emb_out", | |
| ".norm_out", | |
| ".img_in", | |
| ".vid_in", | |
| ".x_embedder", | |
| "patch_embedding", | |
| "patch_emb", | |
| ".vid_out", | |
| ".y_embedder", | |
| "language_model.embed_tokens.weight", | |
| "language_model.layers.0.input_layernorm.weight", | |
| "language_model.layers.0.post_attention_layernorm.weight", | |
| "language_model.layers.1.input_layernorm.weight", | |
| "language_model.layers.1.post_attention_layernorm.weight", | |
| "language_model.layers.2.input_layernorm.weight", | |
| "language_model.layers.2.post_attention_layernorm.weight", | |
| "language_model.layers.3.input_layernorm.weight", | |
| "language_model.layers.3.post_attention_layernorm.weight", | |
| "language_model.layers.4.input_layernorm.weight", | |
| "language_model.layers.4.post_attention_layernorm.weight", | |
| "language_model.layers.5.input_layernorm.weight", | |
| "language_model.layers.5.post_attention_layernorm.weight", | |
| "language_model.layers.6.input_layernorm.weight", | |
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| "language_model.layers.7.input_layernorm.weight", | |
| "language_model.layers.7.post_attention_layernorm.weight", | |
| "language_model.layers.8.input_layernorm.weight", | |
| "language_model.layers.8.post_attention_layernorm.weight", | |
| "language_model.layers.9.input_layernorm.weight", | |
| "language_model.layers.9.post_attention_layernorm.weight", | |
| "language_model.layers.10.input_layernorm.weight", | |
| "language_model.layers.10.post_attention_layernorm.weight", | |
| "language_model.layers.11.input_layernorm.weight", | |
| "language_model.layers.11.post_attention_layernorm.weight", | |
| "language_model.layers.12.input_layernorm.weight", | |
| "language_model.layers.12.post_attention_layernorm.weight", | |
| "language_model.layers.13.input_layernorm.weight", | |
| "language_model.layers.13.post_attention_layernorm.weight", | |
| "language_model.layers.14.input_layernorm.weight", | |
| "language_model.layers.14.post_attention_layernorm.weight", | |
| "language_model.layers.15.input_layernorm.weight", | |
| "language_model.layers.15.post_attention_layernorm.weight", | |
| "language_model.layers.16.input_layernorm.weight", | |
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| "language_model.layers.18.input_layernorm.weight", | |
| "language_model.layers.18.post_attention_layernorm.weight", | |
| "language_model.layers.19.input_layernorm.weight", | |
| "language_model.layers.19.post_attention_layernorm.weight", | |
| "language_model.layers.20.input_layernorm.weight", | |
| "language_model.layers.20.post_attention_layernorm.weight", | |
| "language_model.layers.21.input_layernorm.weight", | |
| "language_model.layers.21.post_attention_layernorm.weight", | |
| "language_model.layers.22.input_layernorm.weight", | |
| "language_model.layers.22.post_attention_layernorm.weight", | |
| "language_model.layers.23.input_layernorm.weight", | |
| "language_model.layers.23.post_attention_layernorm.weight", | |
| "language_model.layers.24.input_layernorm.weight", | |
| "language_model.layers.24.post_attention_layernorm.weight", | |
| "language_model.layers.25.input_layernorm.weight", | |
| "language_model.layers.25.post_attention_layernorm.weight", | |
| "language_model.norm.weight", | |
| "multi_modal_projector.linear_1.weight", | |
| "multi_modal_projector.linear_2.weight", | |
| "multi_modal_projector.norm.weight", | |
| "multi_modal_projector.patch_merger.merging_layer.weight", | |
| "vision_tower.ln_pre.weight", | |
| "vision_tower.patch_conv.weight", | |
| "vision_tower.transformer.layers.0.attention_norm.weight", | |
| "vision_tower.transformer.layers.0.ffn_norm.weight", | |
| "vision_tower.transformer.layers.1.attention_norm.weight", | |
| "vision_tower.transformer.layers.1.ffn_norm.weight", | |
| "vision_tower.transformer.layers.2.attention_norm.weight", | |
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| "vision_tower.transformer.layers.8.attention_norm.weight", | |
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| "vision_tower.transformer.layers.9.attention_norm.weight", | |
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| "vision_tower.transformer.layers.10.attention_norm.weight", | |
| "vision_tower.transformer.layers.10.ffn_norm.weight", | |
| "vision_tower.transformer.layers.11.attention_norm.weight", | |
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| "vision_tower.transformer.layers.21.attention_norm.weight", | |
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| "vision_tower.transformer.layers.23.ffn_norm.weight" | |
| ], | |
| "modules_to_not_use_matmul": [], | |
| "non_blocking": false, | |
| "quant_conv": false, | |
| "quant_embedding": false, | |
| "quant_method": "sdnq", | |
| "quantization_device": null, | |
| "quantized_matmul_dtype": null, | |
| "return_device": null, | |
| "sdnq_version": "0.1.9", | |
| "svd_rank": 32, | |
| "svd_steps": 8, | |
| "use_dynamic_quantization": false, | |
| "use_grad_ckpt": true, | |
| "use_quantized_matmul": false, | |
| "use_quantized_matmul_conv": false, | |
| "use_static_quantization": true, | |
| "use_stochastic_rounding": false, | |
| "use_svd": false, | |
| "weights_dtype": "uint4" | |
| }, | |
| "spatial_merge_size": 2, | |
| "text_config": { | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 3072, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 9216, | |
| "max_position_embeddings": 262144, | |
| "model_type": "mistral", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 26, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": null, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "beta_fast": 32.0, | |
| "beta_slow": 1.0, | |
| "factor": 16.0, | |
| "llama_4_scaling_beta": 0.1, | |
| "mscale": 1.0, | |
| "mscale_all_dim": 1.0, | |
| "original_max_position_embeddings": 16384, | |
| "rope_theta": 1000000.0, | |
| "rope_type": "yarn", | |
| "type": "yarn" | |
| }, | |
| "sliding_window": null, | |
| "tie_word_embeddings": true, | |
| "use_cache": true, | |
| "vocab_size": 131072 | |
| }, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.8.0.dev0", | |
| "vision_config": { | |
| "attention_dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "image_size": 1540, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "model_type": "pixtral", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 24, | |
| "patch_size": 14, | |
| "rope_parameters": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "vision_feature_layer": -1 | |
| } | |