stable-diffusion-image-generation

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Tool: references/advanced-usage.md [2/2] Description: BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.float16 ) pipe = StableDiffusionXLPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", quantization_config=quantization_config ) ``` ## Production Deployment ### FastAPI server ```python from fastapi import FastAPI, HTTPException from pydantic import BaseModel from diffusers import DiffusionPipeline import torch import base64 from i

Malicious tool definition detected

Description: # Stable Diffusion Troubleshooting Guide ## Installation Issues ### Package conflicts **Error**: `ImportError: cannot import name 'cached_download' from 'huggingface_hub'` **Fix**: ```bash # Update huggingface_hub pip install --upgrade huggingface_hub # Reinstall diffusers pip install --upgrade diffusers ``` ### xFormers installation fails **Error**: `RuntimeError: CUDA error: no kernel image is available for execution` **Fix**: ```bash # Check CUDA version nvcc --version # Install

**Discord**: https://discord.gg/diffusers 4.

Tool passed security scan

Malicious tool definition detected

Load SDXL with optimizations pipe = StableDiffusionXLPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16" ) pipe.to("cuda") pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) pipe.enable_model_cpu_offload() # 2.