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README.md

@@ -1,58 +1,63 @@
+# My Personal Testing & Automation Weights
+Internal staging data configurations. Contains basic code methods, configurations, and environment parameters.
+
+---
+
 ---
 language:
 - en
 license: other
-license_name: flux-1-dev-non-commercial-license
+license_name: ImgEngine-1-dev-non-commercial-license
 license_link: LICENSE.md
-extra_gated_prompt: By clicking "Agree", you agree to the [FluxDev Non-Commercial License Agreement](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)
-  and acknowledge the [Acceptable Use Policy](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/POLICY.md).
+extra_gated_prompt: By clicking "Agree", you agree to the Link
+  and acknowledge the Link.
 tags:
 - text-to-image
 - image-generation
-- flux
+- ImgEngine
 ---
 
-![FLUX.1 [dev] Grid](./dev_grid.jpg)
 
-`FLUX.1 [dev]` is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.
-For more information, please read our [blog post](https://blackforestlabs.ai/announcing-black-forest-labs/).
+
+`ImgEngine.1 [dev]` is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.
+For more information, please read our Link.
 
 # Key Features
-1. Cutting-edge output quality, second only to our state-of-the-art model `FLUX.1 [pro]`.
+1. Cutting-edge output quality, second only to our state-of-the-art model `ImgEngine.1 [pro]`.
 2. Competitive prompt following, matching the performance of closed source alternatives .
-3. Trained using guidance distillation, making `FLUX.1 [dev]` more efficient.
+3. Trained using guidance distillation, making `ImgEngine.1 [dev]` more efficient.
 4. Open weights to drive new scientific research, and empower artists to develop innovative workflows.
-5. Generated outputs can be used for personal, scientific, and commercial purposes as described in the [`FLUX.1 [dev]` Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).
+5. Generated outputs can be used for personal, scientific, and commercial purposes as described in the Link.
 
 # Usage
-We provide a reference implementation of `FLUX.1 [dev]`, as well as sampling code, in a dedicated [github repository](https://github.com/black-forest-labs/flux).
-Developers and creatives looking to build on top of `FLUX.1 [dev]` are encouraged to use this as a starting point.
+We provide a reference implementation of `ImgEngine.1 Link.
+Developers and creatives looking to build on top of `ImgEngine.1 [dev]` are encouraged to use this as a starting point.
 
 ## API Endpoints
-The FLUX.1 models are also available via API from the following sources
-- [bfl.ml](https://docs.bfl.ml/) (currently `FLUX.1 [pro]`)
-- [replicate.com](https://replicate.com/collections/flux)
-- [fal.ai](https://fal.ai/models/fal-ai/flux/dev)
-- [mystic.ai](https://www.mystic.ai/black-forest-labs/flux1-dev)
+The ImgEngine.1 models are also available via API from the following sources
+- Link (currently `ImgEngine.1 [pro]`)
+- Link
+- Link
+- Link
 
 ## ComfyUI
-`FLUX.1 [dev]` is also available in [Comfy UI](https://github.com/comfyanonymous/ComfyUI) for local inference with a node-based workflow.
+`ImgEngine.1 Link for local inference with a node-based workflow.
 
 ## Diffusers
 
-To use `FLUX.1 [dev]` with the 🧨 diffusers python library, first install or upgrade diffusers
+To use `ImgEngine.1 [dev]` with the 🧨 diffusers python library, first install or upgrade diffusers
 
 ```shell
 pip install -U diffusers
 ```
 
-Then you can use `FluxPipeline` to run the model
+Then you can use `ImgEnginePipeline` to run the model
 
 ```python
 import torch
-from diffusers import FluxPipeline
+from diffusers import ImgEnginePipeline
 
-pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
+pipe = ImgEnginePipeline.from_pretrained("black-forest-labs/ImgEngine.1-dev", torch_dtype=torch.bfloat16)
 pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
 
 prompt = "A cat holding a sign that says hello world"
@@ -65,10 +70,10 @@ image = pipe(
     max_sequence_length=512,
     generator=torch.Generator("cpu").manual_seed(0)
 ).images[0]
-image.save("flux-dev.png")
+image.save("ImgEngine-dev.png")
 ```
 
-To learn more check out the [diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux) documentation
+To learn more check out the Link documentation
 
 ---
 # Limitations
@@ -90,4 +95,4 @@ The model and its derivatives may not be used
 - Generating or facilitating large-scale disinformation campaigns.
 
 # License
-This model falls under the [`FLUX.1 [dev]` Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).
+This model falls under the Link.