Create app.py

app.py

@@ -0,0 +1,69 @@
+from diffusers import AutoPipelineForText2Image
+import torch
+import gradio as gr
+from PIL import Image
+import os
+from diffusers.utils import load_image
+from accelerate import Accelerator
+
+accelerator = Accelerator()
+models =[
+    "stablediffusionapi/disney-pixal-cartoon",
+    "stablediffusionapi/edge-of-realism",
+    "sd-dreambooth-library/original-character-cyclps",
+    "AIArtsChannel/steampunk-diffusion",
+    "nitrosocke/mo-di-diffusion",
+    "MirageML/fantasy-scene",
+    "wavymulder/lomo-diffusion",
+    "sd-dreambooth-library/fashion",
+    "DucHaiten/DucHaitenDreamWorld",
+    "VegaKH/Ultraskin",
+    "kandinsky-community/kandinsky-2-1",
+    "plasmo/woolitize-768sd1-5",
+    "plasmo/food-crit",
+    "johnslegers/epic-diffusion-v1.1",
+    "robotjung/SemiRealMix",
+    "prompthero/linkedin-diffusion",
+    "RayHell/popupBook-diffusion",
+    "MirageML/lowpoly-world",
+    "warp-ai/wuerstchen",
+    "deadman44/SD_Photoreal_Merged_Models",
+    "johnslegers/epic-diffusion",
+    "wavymulder/modelshoot",
+    "Fictiverse/Stable_Diffusion_VoxelArt_Model",
+    "nousr/robo-diffusion-2-base",
+    "darkstorm2150/Protogen_v2.2_Official_Release",
+    "hassanblend/HassanBlend1.5.1.2",
+    "hassanblend/hassanblend1.4",
+    "nitrosocke/redshift-diffusion",
+    "prompthero/openjourney-v2",
+    "nitrosocke/Arcane-Diffusion",
+    "Lykon/DreamShaper",
+    "wavymulder/Analog-Diffusion",
+    "dreamlike-art/dreamlike-diffusion-1.0",
+    "dreamlike-art/dreamlike-photoreal-2.0",
+    "digiplay/RealismEngine_v1",
+    "digiplay/AIGEN_v1.4_diffusers",
+    "stablediffusionapi/dreamshaper-v6",
+    "axolotron/ice-cream-animals",
+    "FFusion/FFXL400",
+    "TheLastBen/froggy-style-v21-768",
+    "FloydianSound/Nixeu_Diffusion_v1-5",
+    "digiplay/PotoPhotoRealism_v1",
+]
+
+def plex(prompt,goof,modil):
+    pipe = accelerator.prepare(AutoPipelineForText2Image.from_pretrained(modil, torch_dtype=torch.float32))
+    pipe = accelerator.prepare(pipe.to("cpu"))
+    # prompt = "A fantasy landscape, Cinematic lighting"
+    # negative_prompt = "low quality, bad quality"
+
+    #rmage = load_image(goof)
+    #original_image = rmage.convert("RGB")
+    #original_image.thumbnail((512, 512))
+
+    image = pipe(prompt=prompt, num_inference_steps=30).images[0]
+    return image
+
+iface = gr.Interface(fn=plex,inputs=[gr.Textbox(label="Prompt"), gr.Dropdown(choices=models,label="Model")],outputs=gr.Image(),title="AutoPipelineForText2Image_SD_Multi",description="AutoPipelineForText2Image_SD_Multi")
+iface.launch()