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| from PIL import Image | |
| import gradio as gr | |
| import torch, os, random | |
| from accelerate import Accelerator | |
| from transformers import pipeline | |
| from diffusers.utils import load_image | |
| from diffusers import DiffusionPipeline, DDPMScheduler | |
| from diffusers import WuerstchenDecoderPipeline, WuerstchenPriorPipeline | |
| from diffusers.pipelines.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS | |
| accelerator = Accelerator(cpu=True) | |
| warp_prior = accelerator.prepare(WuerstchenPriorPipeline.from_pretrained("warp-ai/wuerstchen-prior", torch_dtype=torch.float32, use_safetensors=True, safety_cheker=None)) | |
| ###warp_prior.scheduler = DDPMWuerstchenScheduler.from_config(warp_prior.scheduler.config) | |
| warp_prior = warp_prior.to("cpu") | |
| warp = accelerator.prepare(WuerstchenDecoderPipeline.from_pretrained("warp-ai/wuerstchen", torch_dtype=torch.float32, use_safetensors=True, safety_checker=None)) | |
| ###warp.scheduler = DDPMWuerstchenScheduler.from_config(warp.scheduler.config) | |
| warp = warp.to("cpu") | |
| generator = torch.Generator(device="cpu").manual_seed(random.randint(1, 4876364)) | |
| apol=[] | |
| def plex(cook, one, two): | |
| apol=[] | |
| ###goof = load_image(img).resize((512, 512)) | |
| negative_prompt = "lowres,text,bad quality,low quality,jpeg artifacts,ugly,bad hands,bad face,blurry,bad eyes,watermark,signature" | |
| warp_out = warp_prior(prompt=cook, height=512,width=512,negative_prompt=negative_prompt,guidance_scale=two,timestep=DEFAULT_STAGE_C_TIMESTEPS,num_inference_steps=one) | |
| primpt = "" | |
| imas = warp(image_embeddings=warp_out.image_embeddings, height=512, width=512, num_inference_steps=one, timestep=DEFAULT_STAGE_C_TIMESTEPS,prompt=cook,negative_prompt=primpt,guidance_scale=0.0,output_type="pil") | |
| for i, igs in enumerate(imas["images"]): | |
| apol.append(igs) | |
| return apol | |
| iface = gr.Interface(fn=plex,inputs=[gr.Textbox(label="prompt"), gr.Slider(label="Inference steps",minimum=1,step=1,maximum=10,value=5), gr.Slider(label="Prior guidance scale",minimum=4.1,step=0.1,maximum=19.9,value=4.1)],outputs=gr.Gallery(label="Generated Output Image",columns=2), title="Txt2Img Wrstchn SD", description="Very slow! Running on cpu. By JoPmt.") | |
| iface.queue(max_size=1,api_open=False) | |
| iface.launch(max_threads=1) |