Update README.md

README.md

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----
-library_name: diffusers
-license: other
-license_name: flux-1-dev-non-commercial-license
-license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/resolve/main/LICENSE.md
----
+---
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/resolve/main/LICENSE.md
+base_model:
+- black-forest-labs/FLUX.1-dev
+pipeline_tag: text-to-image
+library_name: diffusers
+tags:
+- flux
+- text-to-image
+---
+
+# Flux.1 Lite
+We want to announce the alpha version of our new distilled Flux.1 Lite model, an 8B parameter transformer model distilled from the original Flux1. dev model.
+
+Our goal is to further reduce FLUX.1-dev transformer parameters up to 24Gb to make it compatible with most of GPU cards.
+
+![](./flux1-lite-8B_tearser.jpg)
+
+
+## News🔥🔥🔥
+* Oct.18, 2024. Alpha 8B checkpoint and comparison demo 🤗 (i.e. [Flux.1 Lite](https://huggingface.co/spaces/Freepik/flux.1-lite)) is publicly available on [HuggingFace Repo](https://huggingface.co/Freepik/flux.1-lite-8B-alpha).
+
+## Try our Hugging Face demos: 
+Flux.1 Lite demo host on [🤗 flux.1-lite](https://huggingface.co/spaces/Freepik/flux.1-lite) 
+
+## Introduction
+
+Hyper-SD is one of the new State-of-the-Art diffusion model acceleration techniques.
+In this repository, we release the models distilled from [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev), [SD3-Medium](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers), [SDXL Base 1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) and [Stable-Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5)。
+
+## Checkpoints
+
+* `flux.1-lite-8B-alpha.safetensors`: Transformer checkpoint, in Flux original format.
+
+## Text-to-Image Usage
+
+### FLUX.1-dev-related models
+```python
+import torch
+from diffusers import FluxPipeline
+
+base_model_id = "Freepik/flux.1-lite-8B-alpha"
+torch_dtype = torch.bfloat16
+device = "cuda"
+
+# Load the pipe
+model_id = "Freepik/flux.1-lite-8B-alpha"
+pipe = FluxPipeline.from_pretrained(
+    model_id, torch_dtype=torch_dtype
+).to(device)
+
+# Inference
+prompt = " scene inspired by 2000 comedy animation, a glowing green alien whose fluorescent skin emits light, standing in a dark purple forest. The alien is holding a large sign that reads "LITE 8B ALPHA" in bold letters. The forest around is shadowy, with tall, eerie trees and mist rolling in. The alien radiates a soft, supernatural glow, illuminating the surroundings, creating a stark contrast between light and darkness. Style of an old comic, with flat colors, halftone shading, and a slightly weathered, vintage texture."
+
+guidance_scale = 3.5  # Important to keep guidance_scale to 3.5
+n_steps = 24
+seed = 12
+
+with torch.inference_mode():
+    image = pipe(
+        prompt=prompt,
+        generator=torch.Generator(device="cuda").manual_seed(seed),
+        num_inference_steps=n_steps,
+        guidance_scale=guidance_scale,
+        height=1024,
+        width=1024,
+    ).images[0]
+image.save("output.png")
+```