Dreamlook.ai
Finetune and Generate Stable Diffusion Models Faster with dreamlook.ai
Quick facts
- Best for
- Finetune and Generate Stable Diffusion Models Faster with dreamlook.ai
- Pricing
- Paid
- Editor rating
- 4.5 / 5
- Community saves
- 155
About Dreamlook.ai
Dreamlook.ai redefines AI-based image generation with state-of-the-art models and robust API integration. The platform is designed to provide unbeatable training performance, allowing users to train 1,500 SDXL steps in just 10 minutes without compromising on quality. From producing full-resolution SDXL images in 4 seconds to generating Stable Diffusion images at incredible speeds, Dreamlook.ai ensures both speed and excellence. Whether it's training on various subjects like pets or producing photorealistic images and virtual photoshoots, Dreamlook.ai offers a comprehensive, end-to-end solution that caters to all user needs. Furthermore, with features like Offset Noise and ControlNet, users have unparalleled control and precision in their image outputs, making it ideal for both personal and professional use.
Pros
- Fast training for Stable Diffusion models
- Support for SD1.5 and SDXL
- Robust and scalable API
- Multiple subscription plans
- ControlNet for precise posing
- Image generation in 4 seconds
- Full resolution SDXL images
- Offset Noise for dark images
- Extensive documentation
- Active social media support
- Generates images from uploads
- Accessible through Instagram
Cons
- Beta version
- Requires 10 images
- Potentially inappropriate content
- Long wait times
- Mandatory user signup
- Content copyright restrictions
- Policy terms not clear
- Limited social platform reach
Pricing
- • Included Tokens: 50 tokens on signup
- • ControlNet Support: No
- • Queue Priority: Low
- • Maximum Concurrent Jobs: 1
- • Maximum Training Steps (SD1.5 and SDXL): 5,000
- • Maximum Training Images (SD1.5 and SDXL): 50
- • Max Full Model Checkpoints Per Training Job: 1
- • Max LoRA Checkpoints Per Training Job: 1
- • Train from Existing Checkpoints: No
- • Team Features (shared jobs and tokens): No
- • Model Storage Duration: 48 hours
- • SDXL Training (1024x1024): 3.5 steps/s
- • SDXL Training (512x512): 9.0 steps/s
- • SD1.5 Training (512x512): 10.0 steps/s
- • SDXL Image Generation (1024x1024): 4.0 s/image
- • SD1.5 Image Generation (1024x1024): 3.0 s/image
- • Included Tokens: 100 tokens/month
- • ControlNet Support: Yes
- • Queue Priority: Normal
- • Maximum Concurrent Jobs: 1
- • Maximum Training Steps (SD1.5 and SDXL): 50,000
- • Maximum Training Images (SD1.5 and SDXL): 500
- • Max Full Model Checkpoints Per Training Job: 3 checkpoints + 1 per 25k steps
- • Max LoRA Checkpoints Per Training Job: 3 checkpoints + 1 per 25k steps
- • Train from Existing Checkpoints: Yes
- • Team Features (shared jobs and tokens): No
- • Model Storage Duration: 30 days (while plan active)
- • SDXL Training (1024x1024): 3.5 steps/s
- • SDXL Training (512x512): 9.0 steps/s
- • SD1.5 Training (512x512): 10.0 steps/s
- • SDXL Image Generation (1024x1024): 4.0 s/image
- • SD1.5 Image Generation (1024x1024): 3.0 s/image
- • Included Tokens: 1,000 tokens/month
- • ControlNet Support: Yes
- • Queue Priority: High
- • Maximum Concurrent Jobs: 10
- • Maximum Training Steps (SD1.5 and SDXL): 500,000
- • Maximum Training Images (SD1.5 and SDXL): 5,000
- • Max Full Model Checkpoints Per Training Job: 10 checkpoints + 1 per 25k steps
- • Max LoRA Checkpoints Per Training Job: 10 checkpoints + 1 per 25k steps
- • Train from Existing Checkpoints: Yes
- • Team Features (shared jobs and tokens): No
- • Model Storage Duration: 90 days (while plan active)
- • SDXL Training (1024x1024): 3.5 steps/s
- • SDXL Training (512x512): 9.0 steps/s
- • SD1.5 Training (512x512): 10.0 steps/s
- • SDXL Image Generation (1024x1024): 4.0 s/image
- • SD1.5 Image Generation (1024x1024): 3.0 s/image
- • Included Tokens: 10k tokens/month
- • ControlNet Support: Yes
- • Queue Priority: Dedicated capacity
- • Maximum Concurrent Jobs: 100
- • Maximum Training Steps (SD1.5 and SDXL): 5M
- • Maximum Training Images (SD1.5 and SDXL): 50k
- • Max Full Model Checkpoints Per Training Job: 10 checkpoints + 1 per 25k steps
- • Max LoRA Checkpoints Per Training Job: 10 checkpoints + 1 per 25k steps
- • Train from Existing Checkpoints: Yes
- • Team Features (shared jobs and tokens): Yes
- • Model Storage Duration: Permanent (while plan active)
- • SDXL Training (1024x1024): 3.5 steps/s
- • SDXL Training (512x512): 9.0 steps/s
- • SD1.5 Training (512x512): 10.0 steps/s
- • SDXL Image Generation (1024x1024): 4.0 s/image
- • SD1.5 Image Generation (1024x1024): 3.0 s/image