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FLUX.MF-8step_lightning_v2

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 ---
 library_name: diffusers
 ---
-# Model Card for Model ID
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 ---
+language:
+- en
 library_name: diffusers
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: LICENSE.md
+base_model:
+- black-forest-labs/FLUX.1-dev
+- black-forest-labs/FLUX.1-schnell
+base_model_relation: merge
+tags:
+- flux
+- fluxpipeline
+- turbo
+- lightning
+- diffusers
+pipeline_tag: text-to-image
 ---
+# FLUX-merged_lightning-v2
+This repository provides the merged params for [`black-forest-labs/FLUX.1-dev`](https://huggingface.co/black-forest-labs/FLUX.1-dev)
+and [`black-forest-labs/FLUX.1-schnell`](https://huggingface.co/black-forest-labs/FLUX.1-schnell) originally provided by [@sayakpaul](https://huggingface.co/sayakpaul/FLUX.1-merged).
+The base model was then fused with a selection of LoRAs, *some of which are NSFW in nature*. Please use responsibily. Please be aware of the licenses of both the models before using the params commercially.
+This model was created as part of the ongoing [OpenSight project](https://huggingface.co/spaces/aiwithoutborders-xyz/OpenSight-Deepfake-Detection-Models-Playground), mostly for dataset generation and evaluation purposes.
+## The following context provided by sayakpaul, of the original merged model.
+<table>
+    <thead>
+        <tr>
+            <th>Dev (50 steps)</th>
+            <th>Dev (4 steps)</th>
+            <th>Dev + Schnell Merge (4 steps)</th>
+            <th>This Model (6-8 steps recommended)</th>
+        </tr>
+    </thead>
+    <tbody>
+      <tr>Prompt: `An Instagram profile picture of an Asian model taken at a rooftop penthouse pool party.`</tr>
+        <tr>
+            <td>
+              <img src="https://cdn-uploads.huggingface.co/production/uploads/639daf827270667011153fbc/pLdbs5kVH3jCKkKeAV8P_.jpeg" width="150px" height="150px">
+            </td>
+            <td>
+              <img src="https://cdn-uploads.huggingface.co/production/uploads/639daf827270667011153fbc/5u4ME3kBSNGLmYyGIcyFW.jpeg" width="150px" height="150px">
+            </td>
+            <td>
+              <img src="https://cdn-uploads.huggingface.co/production/uploads/639daf827270667011153fbc/b5JQCzbE2hzKZS-C1xra5.jpeg" width="150px" height="150px">
+            </td>
+          <td>
+            <img src="https://cdn-uploads.huggingface.co/production/uploads/639daf827270667011153fbc/rnqvOgQH7IjReKjWmms00.jpeg" width="150px" height="150px">
+          </td>
+        </tr>
+    </tbody>
+</table>
+## Sub-memory-efficient merging code
+```python
+from diffusers import FluxTransformer2DModel
+from huggingface_hub import snapshot_download
+from accelerate import init_empty_weights
+from diffusers.models.model_loading_utils import load_model_dict_into_meta
+import safetensors.torch
+import glob
+import torch
+with init_empty_weights():
+    config = FluxTransformer2DModel.load_config("black-forest-labs/FLUX.1-dev", subfolder="transformer")
+    model = FluxTransformer2DModel.from_config(config)
+dev_ckpt = snapshot_download(repo_id="black-forest-labs/FLUX.1-dev", allow_patterns="transformer/*")
+schnell_ckpt = snapshot_download(repo_id="black-forest-labs/FLUX.1-schnell", allow_patterns="transformer/*")
+dev_shards = sorted(glob.glob(f"{dev_ckpt}/transformer/*.safetensors"))
+schnell_shards = sorted(glob.glob(f"{schnell_ckpt}/transformer/*.safetensors"))
+merged_state_dict = {}
+guidance_state_dict = {}
+for i in range(len((dev_shards))):
+    state_dict_dev_temp = safetensors.torch.load_file(dev_shards[i])
+    state_dict_schnell_temp = safetensors.torch.load_file(schnell_shards[i])
+    keys = list(state_dict_dev_temp.keys())
+    for k in keys:
+        if "guidance" not in k:
+            merged_state_dict[k] = (state_dict_dev_temp.pop(k) + state_dict_schnell_temp.pop(k)) / 2
+        else:
+            guidance_state_dict[k] = state_dict_dev_temp.pop(k)
+    if len(state_dict_dev_temp) > 0:
+        raise ValueError(f"There should not be any residue but got: {list(state_dict_dev_temp.keys())}.")
+    if len(state_dict_schnell_temp) > 0:
+        raise ValueError(f"There should not be any residue but got: {list(state_dict_dev_temp.keys())}.")
+merged_state_dict.update(guidance_state_dict)
+load_model_dict_into_meta(model, merged_state_dict)
+model.to(torch.bfloat16).save_pretrained("merged-flux")
+```
+---
+Changelog:
+* 7 April 2025 - Just noticed a potential mistake when loading some components (particularly the text_encoder2), feel free to load from the base dev folder, works the same as it is a merge.