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README.md

@@ -1,22 +1,16 @@
-<!-- README Version: v1.1 -->
-
 ---
 license: apache-2.0
 library_name: diffusers
 pipeline_tag: text-to-image
 tags:
-  - text-to-image
   - flux
-  - flux.1-dev
+  - text-to-image
   - image-generation
   - fp16
-  - diffusion
-  - stable-diffusion
-  - ip-adapter
-  - style-transfer
-base_model: black-forest-labs/FLUX.1-dev
 ---
 
+<!-- README Version: v1.2 -->
+
 # FLUX.1-dev FP16 Model Repository
 
 High-quality text-to-image generation model from Black Forest Labs in FP16 precision format. FLUX.1-dev delivers state-of-the-art image synthesis with exceptional prompt adherence, visual quality, and detail preservation.
@@ -52,12 +46,10 @@ flux-dev-fp16/
 │   └── t5xxl_fp16.safetensors              (9.2 GB) # T5-XXL encoder (alternate location)
 ├── clip_vision/
 │   └── clip_vision_h.safetensors           (1.2 GB) # CLIP vision encoder
-├── vae/flux/
-│   └── flux-vae-bf16.safetensors           (160 MB) # VAE decoder in BF16 precision
-└── ipadapter-flux/
-    └── ip-adapter.bin                       (5.0 GB) # IP-Adapter for image prompting
+└── vae/flux/
+    └── flux-vae-bf16.safetensors            (160 MB) # VAE decoder in BF16 precision
 
-Total Repository Size: 72 GB
+Total Repository Size: ~72 GB
 ```
 
 **Model Components**:
@@ -65,7 +57,6 @@ Total Repository Size: 72 GB
 - **Text Encoders**: CLIP-L, CLIP-G, T5-XXL for advanced text understanding
 - **Vision Encoder**: CLIP vision model for image understanding capabilities
 - **VAE**: `flux-vae-bf16.safetensors` (160 MB) - Variational autoencoder for latent/image conversion
-- **IP-Adapter**: `ip-adapter.bin` (5.0 GB) - Image prompt adapter for style transfer and image conditioning
 
 ## Hardware Requirements
 
@@ -188,45 +179,6 @@ image = pipe(
 image.save("optimized_output.png")
 ```
 
-### IP-Adapter Image Prompting
-
-```python
-import torch
-from diffusers import FluxPipeline
-from ip_adapter import IPAdapter
-
-# Load FLUX pipeline
-pipe = FluxPipeline.from_single_file(
-    "E:/huggingface/flux-dev-fp16/checkpoints/flux/flux1-dev-fp16.safetensors",
-    torch_dtype=torch.float16
-)
-pipe.to("cuda")
-
-# Load IP-Adapter for image conditioning
-ip_adapter = IPAdapter(
-    pipe,
-    image_encoder_path="E:/huggingface/flux-dev-fp16/clip_vision",
-    ip_ckpt="E:/huggingface/flux-dev-fp16/ipadapter-flux/ip-adapter.bin",
-    device="cuda"
-)
-
-# Load reference image for style/composition transfer
-reference_image = "reference_style.jpg"
-
-# Generate image with text prompt + image reference
-image = ip_adapter.generate(
-    pil_image=reference_image,
-    prompt="A landscape in the style of the reference image",
-    num_inference_steps=50,
-    guidance_scale=7.5,
-    scale=0.6,  # IP-Adapter influence strength (0.0-1.0)
-    height=1024,
-    width=1024
-)[0]
-
-image.save("style_transfer_output.png")
-```
-
 ## Model Specifications
 
 | Specification | Details |
@@ -247,7 +199,6 @@ image.save("style_transfer_output.png")
 - Multi-aspect ratio generation
 - Img2img workflows
 - Inpainting and outpainting
-- IP-Adapter image prompting and style transfer
 - ControlNet compatibility
 - LoRA fine-tuning support
 
@@ -329,5 +280,5 @@ If you use FLUX.1-dev in your research or projects, please cite:
 
 **Model Version**: FLUX.1-dev
 **Precision**: FP16
-**Repository Version**: v1.0
-**Last Updated**: 2025-10-13
+**Repository Version**: v1.2
+**Last Updated**: 2025-10-14