MOSS-ImageOpenMOSS
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Point-EOpenAI
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MOSS-Image:
About
MOSS-Image is an open-weight text-to-image model family for generating images from natural-language prompts and structured layout instructions. Its Base and fine-tuned SFT checkpoints share an inference interface and support prompts of up to 4,096 tokens. Users can describe a scene in text or provide JSON layout data to guide where objects and rendered text appear in the composition. The project includes Python and Gradio workflows, a Diffusers pipeline, model weights, and guidance for local deployment and fine-tuning. It can be used to create illustrations, photorealistic images, posters, and other designed compositions, including images containing specified text. Developers can also use supported image-generation runtimes and a hosted API option. The software is aimed at developers, researchers, and creative practitioners who want to generate or adapt images with layout control.
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Point-E:
About
While recent work on text-conditional 3D object generation has shown promising results, the state-of-the-art methods typically require multiple GPU-hours to produce a single sample. This is in stark contrast to state-of-the-art generative image models, which produce samples in a number of seconds or minutes. In this paper, we explore an alternative method for 3D object generation which produces 3D models in only 1-2 minutes on a single GPU. Our method first generates a single synthetic view using a text-to-image diffusion model and then produces a 3D point cloud using a second diffusion model which conditions the generated image. While our method still falls short of the state-of-the-art in terms of sample quality, it is one to two orders of magnitude faster to sample from, offering a practical trade-off for some use cases. We release our pre-trained point cloud diffusion models, as well as evaluation code and models, at this https URL.
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MOSS-Image:
Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Point-E:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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MOSS-Image:
Audience
Developers, researchers, and creative practitioners who want to generate images from text or structured layouts, run the model locally, or fine-tune it for custom tasks.
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Point-E:
Audience
Anyone searching for a system for generating 3D point clouds from complex prompts
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MOSS-Image:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Point-E:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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MOSS-Image:
API
Offers API
Supported
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Point-E:
API
Offers API
Not Supported
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MOSS-Image:
Screenshots and Videos |
Point-E:
Screenshots and Videos |
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MOSS-Image:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Point-E:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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MOSS-Image:
Reviews/
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Point-E:
Reviews/
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MOSS-Image:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Point-E:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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MOSS-Image:
Company InformationOpenMOSS
China
openmoss.ai/MOSS-Image/
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Point-E:
Company InformationOpenAI
Founded: 2015
United States
openai.com/research/point-e
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MOSS-Image:
Alternatives |
Point-E:
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MOSS-Image:
Categories |
Point-E:
Categories |
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Point-E:
Integrations
ComfyUI
Not Supported
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MOSS-Image:
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Point-E:
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