Instructions to use Rin247/MOSS-Image-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/MOSS-Image-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rin247/MOSS-Image-Base", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Rin247/MOSS-Image-Base: direct link, hf CLI and curl.
- Browser
- Download file 2.33 kB
-
https://huggingface.co/Rin247/MOSS-Image-Base/resolve/main/README.md
- Command line
-
hf download hf://Rin247/MOSS-Image-Base/README.md
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curl -L -o README.md https://huggingface.co/Rin247/MOSS-Image-Base/resolve/main/README.md
2.33 kB
| tags: | |
| - quantized | |
| - safetensors | |
| - diffusers | |
| - mecha | |
| - weight-only | |
| - image | |
| - text-to-image | |
| library_name: diffusers | |
| # MOSS-Image-Base | |
| Quantised media packages of [OpenMOSS-Team/MOSS-Image-Base](https://huggingface.co/OpenMOSS-Team/MOSS-Image-Base). | |
| ## MECHA Forge | |
| MECHA — Model Engineering & Contextual Hearth Assembly | |
| These media packages have been forged and optimized in the MECHA Forge. | |
| Each one holds the Denoiser, Text Encoder, and VAE components packaged together for easier deployment. | |
| ## Description | |
| MOSS-Image-Base: text-to-image model supporting natural-language prompts, tag sequences, and JSON layouts for controlling text placement and object arrangement. Uses a Qwen3.5 text encoder and the FLUX.2 small VAE decoder. | |
| ## Available quantizations | |
| | Quant | Denoiser | Text encoder | VAE | | |
| |---|---|---|---| | |
| | FP4 | FP4 | FP4 | FP8 | | |
| | FP8 | FP8 | FP8 | FP8 | | |
| | INT4 | INT4 | INT4 | INT8 | | |
| | INT8 | INT8 | INT8 | INT8 | | |
| The VAE is shared between formats: FP4 reuses the FP8 file, INT4 reuses the INT8 file. | |
| ## Recommended settings | |
| From the source model card (adjust to taste): | |
| | Parameter | Value | | |
| |---|---| | |
| | Steps | 50 | | |
| | CFG / Guidance scale | 3.0 | | |
| | Resolution | 1024 (total pixels) | | |
| | Notes | Flow-matching Euler; shift 5; negative-branch layer skip at 22 | | |
| ## Example prompts | |
| Caught in the moment (candid, slice of life): | |
| ``` | |
| masterpiece, best quality, 1woman, solo, candid moment, natural lighting. | |
| A garden bench under a blooming cherry tree, petals falling, soft spring | |
| light. A 33-year-old woman with an oval face and brown eyes, graceful | |
| build, gentle smile. Floral dress and sun hat, holding a book, mid-read, | |
| candid and relaxed. | |
| ``` | |
| Fashion photography (magazine cover style): | |
| ``` | |
| Fashion photography, magazine cover style: a 28-year-old woman with sharp | |
| cheekbones, piercing green eyes, and a defined jawline; wearing a crimson | |
| silk slip dress with a plunging neckline and a gold chain belt, layered | |
| pearl necklace, strappy stilettos; studio rim lighting, bold serif | |
| typography, high contrast, cinematic, 8K, sharp focus, Vogue editorial. | |
| ``` | |
| Scenery: | |
| ``` | |
| Scenery: a windswept coastal cliff at golden hour, crashing waves below, | |
| dramatic cumulus clouds, golden light on wet rocks, seagulls in flight, | |
| wildflowers in the foreground, photorealistic, wide angle, 8K. | |
| ``` | |