Can the RTX 4070 Laptop 8 GB run Chroma1-HD?
Not at full quality. The 16-bit and 8-bit files are too big for the RTX 4070 Laptop 8 GB; the largest that fits is Q4_K_M (5.6 GB).
Q4_K_M (5.6 GB) fits with only 0.1 GB to spare (about 7.9 GB of 8 GB). Quality: good; some loss in fine detail and text. For better quality, Q5_K_M (6.7 GB) also runs, with about 1.0 GB spilling into system RAM - a little slower, still practical.
Also try the FP8 file (9.2 GB) on this GPU. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | Chroma1-HD-Q4_K_M.gguf Q4_K_M · silveroxides/Chroma1-HD-GGUF | models/unet | 5.6 GB | Download → |
| Text encoder | t5xxl_fp8_e4m3fn.safetensors T5-XXL FP8 · comfyanonymous/flux_text_encoders | models/text_encoders | 4.9 GB | Download → |
| VAE | ae.safetensors FLUX.1 VAE (ae) · lodestones/Chroma | models/vae | 0.3 GB | Download → |
| Total download · keep about the same free on disk | 10.8 GB | |||
Alternatives: T5-XXL FP16 (9.8 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: FP8 workflow (.json). Drag the file into ComfyUI. All workflows →
02Every Chroma1-HD file on 8 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · lodestones | 17.8 GB | 20.1 GB | 12.1 GB too big | the original weights | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 9.2 GB | 11.5 GB | 3.5 GB too big | practically identical to the original | Hugging Face → |
| Q8_0 GGUF · silveroxides | 9.7 GB | 12.0 GB | 4.0 GB too big | practically identical to the original | Hugging Face → |
| Q6_K GGUF · silveroxides | 7.7 GB | 10.0 GB | spills 2.0 GB | very close to the original | Hugging Face → |
| Q5_K_M GGUF · silveroxides | 6.7 GB | 9.0 GB | spills 1.0 GB | close; small differences in fine detail | Hugging Face → |
| Q4_K_M ← GGUF · silveroxides | 5.6 GB | 7.9 GB | fits · 0.1 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_S GGUF · silveroxides | 4.3 GB | 6.6 GB | fits · 1.4 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · silveroxides | 3.4 GB | 5.7 GB | fits · 2.3 GB spare | heavy loss; a last resort | Hugging Face → |
“Needed” adds 1.5 GB of working memory for Chroma1-HD and a 0.8 GB reserve. Sizes 2026-10-01.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Chroma1-HD on a RTX 4070 Laptop 8 GB, send your time per image and peak VRAM and it will appear here, credited.
04With more VRAM
With 12 GB you could run Chroma1-HD at 8-bit or better (FP8, 9.2 GB) with no offloading: for example on the RTX 5070 12 GB, RTX 4070 Super 12 GB, RTX 4070 12 GB.
What changes from the RTX 4070 Laptop 8 GB to the RTX 3090 24 GB →
05About the RTX 4070 Laptop 8 GB
The RTX 4070 Laptop 8 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.) As a laptop GPU it runs at a lower power limit than desktop cards (35–115 W depending on the laptop). The memory verdicts are the same; speed depends heavily on how much power the laptop maker allows.
8 GB GDDR6 · 128-bit · Ada Lovelace · 35–115 W. Everything that runs on it →
06Questions
How much VRAM does Chroma1-HD need?
Around 5.7 GB with the smallest file (Q2_K) and 11.5 GB with an 8-bit file (FP8). The full 16-bit file needs about 20.1 GB.
Which Chroma1-HD file should I download for the RTX 4070 Laptop 8 GB?
Q4_K_M (5.6 GB) from silveroxides/Chroma1-HD-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for Chroma1-HD on the RTX 4070 Laptop 8 GB?
FP8 (9.2 GB): the RTX 4070 Laptop 8 GB computes it natively, while Q8_0 (9.7 GB) is unpacked on the fly.
How much do I need to download for Chroma1-HD on the RTX 4070 Laptop 8 GB?
10.8 GB: Chroma1-HD-Q4_K_M.gguf, t5xxl_fp8_e4m3fn.safetensors, ae.safetensors.