~/runthismodel
daemon okbuild 5a3c91d00:00:00Z

Can RTX 4070 Ti SUPER run Stable Diffusion 1.5 (CoreML)?

S

Yes — runs locally

~144 tok/sec · Instant — feels like typing. No noticeable delay.

Your VRAM
16 GB
Model size
0.86B
Best quant
CoreML-Palettized
VRAM needed
2.5 GB

The verdict

The RTX 4070 Ti SUPER (16 GB VRAM) handles Stable Diffusion 1.5 (CoreML) comfortably using the CoreML-Palettized quantization, which fits in 2.5 GB. Expected throughput is around 144 tokens/second, which feels Instant — feels like typing. No noticeable delay. in interactive use. Classic image generation model. Pre-converted to CoreML for iOS/Mac. Downloads as zip, auto-extracts.

How to run it

  1. 1. Install Ollama or LM Studio.
  2. 2. Pull the CoreML-Palettized GGUF — best balance of quality and speed on 16 GB.
  3. 3. Start chatting. Expect ~144 tok/sec on first-token, faster after warmup.

Other models that run great on RTX 4070 Ti SUPER

FAQ (20)

What GPU do I need to run Stable Diffusion 1.5 (CoreML)?

Stable Diffusion 1.5 (CoreML) is optimized for iOS and macOS devices, so you don't need a specific GPU. It leverages Apple's Metal Performance Shaders for efficient execution on supported devices.

Is Stable Diffusion 1.5 (CoreML) good for coding?

Stable Diffusion 1.5 (CoreML) is primarily designed for image generation, not coding. It can generate images based on text prompts but is not suitable for code generation or programming tasks.

Stable Diffusion 1.5 (CoreML) vs Llama 3.1 8B?

Stable Diffusion 1.5 (CoreML) is an image generation model, while Llama 3.1 8B is a language model. They serve different purposes and are not directly comparable in terms of functionality or performance.

Can I run Stable Diffusion 1.5 (CoreML) on a Mac?

Yes, Stable Diffusion 1.5 (CoreML) is specifically optimized for macOS and iOS devices. It runs efficiently on these platforms using Apple's Core ML framework.

How much VRAM does Stable Diffusion 1.5 (CoreML) need?

Stable Diffusion 1.5 (CoreML) requires approximately 2.5 GB of VRAM, which is consistent across different quantization levels.

Is Stable Diffusion 1.5 (CoreML) censored?

Stable Diffusion 1.5 (CoreML) is subject to the CreativeML OpenRAIL-M license, which includes content guidelines to prevent the generation of harmful or inappropriate content.

Is Stable Diffusion 1.5 (CoreML) commercial-use allowed?

Yes, Stable Diffusion 1.5 (CoreML) can be used commercially under the terms of the CreativeML OpenRAIL-M license, provided you comply with its conditions and restrictions.

Stable Diffusion 1.5 (CoreML) context length?

The context length for Stable Diffusion 1.5 (CoreML) is not explicitly defined, as it is an image generation model and does not process text sequences in the same way as language models.

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