Upload FluxPipeline

README.md

@@ -1,10 +1,10 @@
 ---
-license: other
-license_name: flux-1-dev-non-commercial-license
-license_link: LICENSE.md
 language:
 - en
 library_name: diffusers
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: LICENSE.md
 ---
 # FLUX.1-merged
 
@@ -35,11 +35,6 @@ the models before using the params commercially.
     </tbody>
 </table>
 
-The objectives of this merged checkpoint is to provide benefits of both worlds:
-
-* The timestep-distilled model (schnell) is extremely being capable of generating good-quality outputs in few steps.
-* The guidance-distilled model (dev) is significantly better quality than schnell but takes longer to generate good outputs.
-
 ## Sub-memory-efficient merging code
 
 ```python

model_index.json

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+{
+  "_class_name": "FluxPipeline",
+  "_diffusers_version": "0.30.0.dev0",
+  "_name_or_path": "black-forest-labs/FLUX.1-dev",
+  "scheduler": [
+    "diffusers",
+    "FlowMatchEulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "T5EncoderModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "T5TokenizerFast"
+  ],
+  "transformer": [
+    "diffusers",
+    "FluxTransformer2DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "FlowMatchEulerDiscreteScheduler",
+  "_diffusers_version": "0.30.0.dev0",
+  "base_image_seq_len": 256,
+  "base_shift": 0.5,
+  "max_image_seq_len": 4096,
+  "max_shift": 1.15,
+  "num_train_timesteps": 1000,
+  "shift": 3.0,
+  "use_dynamic_shifting": true
+}

text_encoder/config.json

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+{
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+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 768,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.4",
+  "vocab_size": 49408
+}

text_encoder/model.safetensors

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text_encoder_2/config.json

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+{
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+  "output_past": true,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.4",
+  "use_cache": true,
+  "vocab_size": 32128
+}

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