Update README.md

README.md

@@ -18,7 +18,8 @@ Project Page: https://hyper-sd.github.io/
 
 ## News🔥🔥🔥
 
-* Aug.19, 2024. 💥💥💥 **SD3-related CFG LoRAs** are available now! We recommend setting guidance scale to 3.0/5.0/7.0 at 4/8/16-steps. Don't forget to fuse lora with a relatively small scale (e.g. 0.125 that is adaptive with training) before inference with diffusers. Note that 8-steps and 16-steps LoRA can also inference on a little bit smaller steps like 6-steps and 12-steps, respectively. Hope to hear your feedback, FLUX-related models will be coming next week. 💥💥💥
+* Aug.26, 2024. 💥💥💥 Our 8-steps and 16-steps **FLUX.1-dev-related LoRAs** are available now! We recommend LoRA scales around 0.125 that is adaptive with training and guidance scale could be kept on 3.5. Lower step LoRAs would be coming soon. 💥💥💥
+* Aug.19, 2024. SD3-related CFG LoRAs are available now! We recommend setting guidance scale to 3.0/5.0/7.0 at 4/8/16-steps. Don't forget to fuse lora with a relatively small scale (e.g. 0.125 that is adaptive with training) before inference with diffusers. Note that 8-steps and 16-steps LoRA can also inference on a little bit smaller steps like 6-steps and 12-steps, respectively. Hope to hear your feedback, FLUX-related models will be coming next week. 
 * May.13, 2024. The 12-Steps CFG-Preserved [Hyper-SDXL-12steps-CFG-LoRA](https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-SDXL-12steps-CFG-lora.safetensors) and [Hyper-SD15-12steps-CFG-LoRA](https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-SD15-12steps-CFG-lora.safetensors) is also available now(support 5~8 guidance scales), this could be more practical with better trade-off between performance and speed. Enjoy! 
 * Apr.30, 2024. Our 8-Steps CFG-Preserved [Hyper-SDXL-8steps-CFG-LoRA](https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-SDXL-8steps-CFG-lora.safetensors) and [Hyper-SD15-8steps-CFG-LoRA](https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-SD15-8steps-CFG-lora.safetensors) is available now(support 5~8 guidance scales), we strongly recommend making the 8-step CFGLora a standard configuration for all SDXL and SD15 models!!!
 * Apr.28, 2024. ComfyUI workflows on 1-Step Unified LoRA 🥰 with TCDScheduler to inference on different steps are [released](https://huggingface.co/ByteDance/Hyper-SD/tree/main/comfyui)! Remember to install ⭕️ [ComfyUI-TCD](https://github.com/JettHu/ComfyUI-TCD) in your `ComfyUI/custom_nodes` folder!!! You're encouraged to adjust the eta parameter to get better results 🌟!
@@ -37,10 +38,11 @@ Hyper-SDXL One-step Text-to-Image demo host on [🤗 T2I](https://huggingface.co
 ## 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 [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)。
+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
 
+* `Hyper-FLUX.1-dev-Nsteps-lora.safetensors`: Lora checkpoint, for FLUX.1-dev-related models.
 * `Hyper-SD3-Nsteps-CFG-lora.safetensors`: Lora checkpoint, for SD3-related models.
 * `Hyper-SDXL-Nstep-lora.safetensors`: Lora checkpoint, for SDXL-related models.
 * `Hyper-SD15-Nstep-lora.safetensors`: Lora checkpoint, for SD1.5-related models.
@@ -48,6 +50,24 @@ In this repository, we release the models distilled from [SD3-Medium](https://hu
 
 ## Text-to-Image Usage
 
+### FLUX.1-dev-related models
+```python
+import torch
+from diffusers import FluxPipeline
+from huggingface_hub import hf_hub_download
+base_model_id = "black-forest-labs/FLUX.1-dev"
+repo_name = "ByteDance/Hyper-SD"
+# Take 8-steps lora as an example
+ckpt_name = "Hyper-FLUX.1-dev-8steps-lora.safetensors"
+# Load model, please fill in your access tokens since FLUX.1-dev repo is a gated model.
+pipe = FluxPipeline.from_pretrained(base_model_id, token="xxx")
+pipe.load_lora_weights(hf_hub_download(repo_name, ckpt_name))
+pipe.fuse_lora(lora_scale=0.125)
+pipe.to("cuda", dtype=torch.float16)
+image=pipe(prompt="a photo of a cat", num_inference_steps=8, guidance_scale=3.5).images[0]
+image.save("output.png")
+```
+
 ### SD3-related models
 ```python
 import torch
@@ -64,7 +84,6 @@ pipe.fuse_lora(lora_scale=0.125)
 pipe.to("cuda", dtype=torch.float16)
 image=pipe(prompt="a photo of a cat", num_inference_steps=8, guidance_scale=5.0).images[0]
 image.save("output.png")
-
 ```
 
 ### SDXL-related models