Can the RX 7900 XTX 24 GB run Chroma1-HD?
Download 16-bit (17.8 GB). With the model's working memory it needs about 20.1 GB, leaving 3.9 GB spare on 24 GB. Quality: the original weights.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | Chroma1-HD.safetensors 16-bit · lodestones/Chroma1-HD | models/diffusion_models | 17.8 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 | 23.0 GB | |||
Alternatives: T5-XXL FP16 (9.8 GB). The 16-bit text encoder is a little more faithful; the smaller one is chosen here because it loads faster and needs less RAM. Sizes read from Hugging Face (2026-09-25). “Download” links start the file directly; the file name links are the same files the official ComfyUI workflows use.
System RAM: 32 GB or more. ComfyUI keeps the model file, the text encoder and the VAE in system RAM and moves them to the GPU as needed. With this set of files that is about 23.0 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 29.0 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated
02Every Chroma1-HD file on 24 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · lodestones | 17.8 GB | 20.1 GB | fits · 3.9 GB spare | the original weights | Hugging Face → |
| Q8_0 GGUF · silveroxides | 9.7 GB | 12.0 GB | fits · 12.0 GB spare | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 9.2 GB | 11.5 GB | fits · 12.5 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · silveroxides | 7.7 GB | 10.0 GB | fits · 14.0 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · silveroxides | 6.7 GB | 9.0 GB | fits · 15.0 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · silveroxides | 5.6 GB | 7.9 GB | fits · 16.1 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_S GGUF · silveroxides | 4.3 GB | 6.6 GB | fits · 17.4 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · silveroxides | 3.4 GB | 5.7 GB | fits · 18.3 GB spare | heavy loss; a last resort | Hugging Face → |
Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 1.5 GB working memory for this model + 0.8 GB kept free for the system.
03The text encoder
T5-XXL: 9.8 GB as 16-bit, 4.9 GB as FP8, 2.9 GB as GGUF Q4_K_M (plus CLIP-L (0.25 GB)). ComfyUI encodes the prompt first and can push the encoder out of VRAM before sampling, so it does not have to fit together with the model. On 24 GB the FP8 encoder fits on its own, so prompt encoding stays fast.
04About this GPU
ComfyUI supports AMD GPUs on Windows officially since v0.7.0 (January 2026), through ROCm. Memory works the same as on NVIDIA, so the fit verdicts apply. Some custom nodes are NVIDIA-only. RDNA 3 has no FP8 compute, so FP8 files save memory but give no speed-up.
RX 7900 XTX 24 GB: 24 GB GDDR6 · 384-bit · 960 GB/s · RDNA 3. Everything that runs on the RX 7900 XTX 24 GB →
05What more VRAM would change
Nothing to gain for this model: the RX 7900 XTX 24 GB already runs a top-quality file entirely in VRAM. More memory would only help with bigger images, longer clips or several models at once.
What changes from the RX 7900 XTX 24 GB to the RTX 5090 32 GB →
06Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Chroma1-HD on a RX 7900 XTX 24 GB, send your time per image and peak VRAM and it will appear here, credited.
07Questions
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), counting working memory and a small system reserve. The full 16-bit file needs about 20.1 GB.
Which Chroma1-HD file should I download for the RX 7900 XTX 24 GB?
16-bit (17.8 GB) from lodestones/Chroma1-HD.
Is FP8 faster than GGUF on the RX 7900 XTX 24 GB?
No. This GPU has no FP8 compute, so ComfyUI converts FP8 weights back before the maths. FP8 only saves memory here; Q8_0 GGUF is the closer-to-original 8-bit pick.
How much do I need to download for Chroma1-HD on the RX 7900 XTX 24 GB?
About 23.0 GB for the model file, text encoder and VAE listed on this page, and the same again free on disk. With a 24 GB card, 32 GB of system RAM or more is recommended.