Update README

README.md

@@ -1,3 +1,52 @@
 ---
 license: openrail++
 ---
+
+This Repo contains a diffusers format version of the PixArt-Sigma Repos 
+PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
+PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
+with the models loaded and saved in fp16 and bf16 formats, roughly halfing their sizes.
+It can be used where download bandwith, memory or diskspace are relatively low, a T4 Colab instance for example.
+
+To use in a diffusers script you currently(15/04/2024) need to use a Source distribution of Diffusers
+and an extra 'patch' from the PixArt0Alpha's teams Sigma Github repo
+
+A simple Colab notebook can be found at https://github.com/Vargol/StableDiffusionColabs/blob/main/PixArt/PixArt_Sigma.ipynb
+
+a Diffusers script looks like this.
+
+```py
+import random
+import sys
+import torch
+from diffusers import Transformer2DModel
+from scripts.diffusers_patches import pixart_sigma_init_patched_inputs, PixArtSigmaPipeline
+
+assert getattr(Transformer2DModel, '_init_patched_inputs', False), "Need to Upgrade diffusers: pip install git+https://github.com/huggingface/diffusers"
+setattr(Transformer2DModel, '_init_patched_inputs', pixart_sigma_init_patched_inputs)
+device = 'mps'
+weight_dtype = torch.bfloat16
+
+pipe = PixArtSigmaPipeline.from_pretrained(
+    "/Volumes/SSD2TB/AI/Repos/PixArt-Sigma_16bit",
+    torch_dtype=weight_dtype,
+    variant="fp16",
+    use_safetensors=True,
+)
+
+# Enable memory optimizations.
+# pipe.enable_model_cpu_offload()
+pipe.to(device)
+
+prompt = "Cinematic science fiction film still.A cybernetic demon awaits her friend in a bar selling flaming oil drinks.  The barman is a huge tree being, towering over the demon"
+
+for i in range(4):
+
+    seed = random.randint(0, sys.maxsize)
+    generator =  torch.Generator("mps").manual_seed(seed);
+
+
+    image = pipe(prompt, generator=generator, num_iferencenum_inference_steps=40).images[0]
+    image.save(f"pas_{seed}.png")a
+```
+