Feature Extraction
Transformers
Safetensors
Diffusers
English
qwen3
flux
text-encoder
pruning
distillation
Instructions to use SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B") model = AutoModel.from_pretrained("SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B", device_map="auto") - Diffusers
How to use SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B", torch_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
File size: 1,247 Bytes
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"base_model": "black-forest-labs/FLUX.2-klein-9B",
"artifact_source": "downloaded_remote_runs/tail_plus_merge_ffn_gqa_remove_28-29-30-31-32-33-34-35_20260703_114826/artifact_pruned_recovered_text_encoder",
"text_encoder_out_layers": [
9,
17,
25
],
"exported_num_hidden_layers": 26,
"kept_original_layers": [
0,
1,
2,
3,
4,
5,
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8,
9,
11,
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],
"deleted_original_layers": [
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19,
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31,
32,
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34,
35
],
"lm_head_dropped": true,
"final_norm_identity": false,
"ffn_keep_by_exported_layer": {
"17": 8192,
"18": 8192,
"19": 8192,
"20": 8192,
"21": 8192,
"22": 8192,
"23": 8192
},
"head_groups_by_exported_layer": {
"9": 4,
"10": 6,
"11": 5,
"12": 6,
"13": 6,
"14": 6,
"15": 6,
"17": 5,
"18": 4,
"19": 4,
"21": 6,
"22": 6,
"23": 4
},
"ffn_importance_method": "activation_wanda_l1",
"head_source": "probe_pinned_kept_groups",
"total_params": 5097875968,
"dtype": "bfloat16",
"max_sequence_length": 512
} |