Update README.md

README.md

@@ -1,3 +1,60 @@
 ---
 license: cc0-1.0
+language:
+- en
 ---
+# Generalis V1.1
+
+<hr>
+
+### Second attempt at merging several models v1.5 into one general purpose model.
+
+Focus has been put into simple prompts, good one-off generation, muted colours, low memory usage, small model size.
+
+It is intended as easy model for use in larger projects where image generation is needed.
+
+Published under CC0
+
+<hr>
+
+Use example:
+
+```python
+import torch    # Tested with 2.0.1+cu118
+from diffusers import StableDiffusionPipeline    # <3
+
+
+# Model location in HF 
+model = "https://huggingface.co/vluz/Generalis_V1/blob/main/Generalis_v1.safetensors"
+
+# Create pipe
+pipe = StableDiffusionPipeline.from_ckpt(model, 
+    torch_dtype=torch.float16, 
+    safety_checker=None,
+    feature_extractor=None,
+    requires_safety_checker=False,)
+
+# Cleanup
+del pipe.vae.encoder
+torch.cuda.empty_cache()
+
+# Send to GPU
+pipe = pipe.to("cuda")
+
+# Optimize for low vram use and clear cache again
+pipe.enable_vae_tiling()
+pipe.enable_attention_slicing("max")
+pipe.enable_xformers_memory_efficient_attention(attention_op=None)
+pipe.unet.to(memory_format=torch.channels_last)
+pipe.enable_sequential_cpu_offload()
+torch.cuda.empty_cache()
+
+# Set a prompt
+prompt = "a cat"
+
+# Generate image based on prompt
+image = pipe(prompt).images[0]
+
+# Save result image to disk
+image.save("cat.png")
+```