Update README.md

README.md

@@ -1,3 +1,46 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen-Image
+pipeline_tag: text-to-image
+library_name: diffusers
+---
+# **gguf quantized version of qwen-image**
+- test it with:
+```py
+import torch
+from diffusers import DiffusionPipeline, GGUFQuantizationConfig, QwenImageTransformer2DModel
+
+model_path = "https://huggingface.co/calcuis/krea-gguf/blob/main/qwen-image-q2_k.gguf"
+transformer = QwenImageTransformer2DModel.from_single_file(
+    model_path,
+    quantization_config=GGUFQuantizationConfig(compute_dtype=torch.bfloat16),
+    torch_dtype=torch.bfloat16,
+    config="callgg/qi-decoder",
+    subfolder="transformer"
+)
+
+pipe = DiffusionPipeline.from_pretrained(
+    "callgg/qi-decoder",
+    transformer=transformer,
+    torch_dtype=torch.bfloat16,
+)
+pipe.enable_model_cpu_offload()
+
+prompt = "a pig holding a sign that says hello world"
+positive_magic = {"en": "Ultra HD, 4K, cinematic composition."}
+negative_prompt = " "
+
+image = pipe(
+    prompt=prompt + positive_magic["en"],
+    negative_prompt=negative_prompt,
+    height=1024,
+    width=1024,
+    num_inference_steps=24,
+    true_cfg_scale=2.5,
+    generator=torch.Generator().manual_seed(0)
+).images[0]
+image.save("output.png")
+```