SDXL Flash
Curious how fast you can generate high-quality images with SDXL?
SDXL-Flash is a Hugging Face Space that leverages optimized hardware to provide rapid image generation using the SDXL model. It's designed for users who need quick results without managing complex infrastructure.
- Fast SDXL image generation.
- Hosted on Hugging Face Spaces.
- Access to various GPU hardware options (T4, L4, L40S, A10G, A100, H200).
- Scalable compute resources.
- Free CPU Basic tier available.
- Developers and researchers needing quick iterations for SDXL image generation.
- Users looking to experiment with SDXL without local hardware constraints.
- Individuals seeking a hosted solution for AI art generation with flexible compute options.
- Performance is dependent on selected hardware and associated costs.
- Free tier has limited compute and may experience queues.
- Requires a Hugging Face account for advanced features and paid tiers.
- Free: CPU Basic for Spaces, $0.10 monthly Inference Provider credits, 1TB public/private storage.
- PRO Account ($9/month): 10x private storage, 2x public storage, 20x inference credits ($2.00), 8x ZeroGPU quota, Spaces Dev Mode & ZeroGPU hosting.
- Team ($20/user/month): SSO, data location choice, audit logs, granular access, analytics, centralized token control, advanced compute, $2.00/seat Inference Provider credits.
- Enterprise (Starting at $50/user/month): All Team benefits, highest limits, advanced security, managed billing, legal/compliance, personalized support.
- Spaces Hardware (hourly): CPU Basic (FREE), CPU Upgrade ($0.03), Nvidia T4 ($0.40-$0.60), Nvidia L4 ($0.80-$3.80), Nvidia L40S ($1.80-$23.50), Nvidia A10G ($1.00-$5.00), Nvidia A100 ($2.50-$20.00), Nvidia H200 (FREE ZeroGPU, or $5.00-$40.00 for Jobs).
Team Size
large
AI Model
SDXL
Yes
Response Time
unknown
Name
Hugging FaceLocation
New York, USA (HQ)
Hugging Face is an AI company that builds the future of machine learning, providing tools, datasets, and models for developers and researchers.
Is SDXL-Flash free to use?
SDXL-Flash, being a Hugging Face Space, offers a free CPU Basic tier. However, for faster generation and access to powerful GPUs, paid hardware upgrades are available hourly.
What kind of hardware can I use for SDXL-Flash?
You can choose from various GPU options for your Hugging Face Space, including Nvidia T4, L4, L40S, A10G, A100, and H200, with different vCPU, memory, and VRAM configurations.
How does billing work for Hugging Face compute services like Spaces?
Billing for compute services like Spaces is usage-based, meaning you only pay for what you use. Invoices are generated at the beginning of each month, and charges may occur when accrued usage exceeds billing thresholds.
Can I get a refund for a Hugging Face PRO subscription?
Refund requests for PRO subscriptions should be sent to [email protected]. While some users have reported difficulties, it is the official channel for such inquiries.
Why was my credit card charged $10 when I added it to my Hugging Face account?
Hugging Face validates new payment methods with a temporary $10 hold. This amount is not actually charged and should clear within a few business days. If it doesn't, you should contact your bank.
- Developers and researchers needing quick iterations for SDXL image generation.
- Users looking to experiment with SDXL without local hardware constraints.
- Individuals seeking a hosted solution for AI art generation with flexible compute options.