Add diffusers code loading example (#1)

- Add diffusers code loading example (3f926976770e50a236e9aa1d5ed76681a2eab883)


Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>

README.md

@@ -3,31 +3,65 @@ license: mit
 language:
 - en
 library_name: diffusers
+tags:
+- lora
+- text-to-image
+base_model: "stabilityai/stable-diffusion-xl-base-1.0"
 ---
 
 # Mann-E Turbo
 
 This is a part of _Mann-E Community Edition_ models. This model is a basic implementation of [Mann-E](https://mann-e.com)'s original model (which is not Stable Diffusion anymore) as a LoRa for SDXL. Since the whole business of Mann-E started around SD ecosystem, we've decided to release our LoRa for SD users and people who enjoy using models locally!
 
+## Sample Generations
+
+<div style="text-align:center;">
+  
+<img src="./hf-1.png" width=512 height=512>
+
+<img src="./hf-2.png" width=512 height=512>
+
+<img src="./hf-3.png" width=512 height=512>
+
+<img src="./hf-4.png" width=512 height=512>
+
+</div>
+
 ## Considerations
 
 - Model __IS__ capable of making accidental and intentional _NSFW_ material. So be careful while using the LoRa in presence of people who might be sensitive to this material.
 - The model has tested with SDXL 1.0, SDXL Turbo and even SDXL Lightning models and it works perfectly.
-  - We've tested the model with A1111, so for `diffusers` and ComfyUI, we may need contributions.
+  - We've tested the model with A111 and `diffusers`. For ComfyUI, we may need contributions if it doesn't work.
   - DreamShaperXL, TurboVisioXL and RealVis were models with the best results. You may consider using them or merges/fine-tunes based on those!
 - This LoRa is compatible with other LoRa's as well. Be careful to weight it exactly 1 to get results like what we're presenting here.
 - DPM SDE++ Karras is the best scheduler. 6-10 steps for turbo models work perfectly, also CFG of 2.5 to 4.0 works perfectly!
 
-## Sample Generations
+## Load with 🧨 diffusers
+```py
+from diffusers import DiffusionPipeline, DPMSolverSinglestepScheduler
+import torch
 
-<div style="text-align:center;">
-  
-<img src="./hf-1.png" width=512 height=512>
+pipe = DiffusionPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16
+).to("cuda")
+#You can use other base models such as `Lykon/dreamshaper-xl-1-0`, `0x4f1f/TurboVisionXL-v3.2` or `SG161222/RealVisXL_V4.0`
 
-<img src="./hf-2.png" width=512 height=512>
+pipe.load_lora_weights(
+    "mann-e/Mann-E_Turbo",
+    weight_name="manne_turbo.safetensors",
+)
 
-<img src="./hf-3.png" width=512 height=512>
+#This is equivalent to DPM++ SDE Karras, as noted in https://huggingface.co/docs/diffusers/main/en/api/schedulers/overview
+pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config, use_karras_sigmas=True)
 
-<img src="./hf-4.png" width=512 height=512>
+image = pipe(
+  prompt="a cat in a bustling middle eastern city",
+  num_inference_steps=8,
+  guidance_scale=4,
+  width=768,
+  height=768,
+  clip_skip=1
+).images[0]
 
-</div>
+image.save("a_cat.png")
+```