Selling Fine-Tunes

Who Sells on Thumper

The marketplace is built for creators who have domain expertise and want to monetize it through trained models:

• Artists — style LoRAs trained on original artwork, texture packs, lighting presets
• Writers — LLM adapters for specific genres, tones, or narrative styles
• Voice actors — voice clone models trained on licensed recordings
• Domain experts — fine-tuned models for legal, medical, financial, or technical domains
• Prompt engineers — textual inversions, embedding bundles, and workflow packages

What You Can Sell

LoRA adapters, merged GGUF models, voice clone checkpoints, textual inversions, and bundles that combine multiple assets with workflows and prompts. All model types that Thumper’s inference engines support are eligible.

Revenue Model

Sellers set their own prices. Thumper takes a 20% platform fee on each sale. Payouts are processed via Stripe Connect once your tax and identity verification are complete. Free models are allowed and encouraged as a growth strategy — they drive traffic to your paid offerings.

Bundle Strategy

Bundles convert 3–5x better than standalone adapters. A bundle combines a trained model with everything a buyer needs to get results immediately: sample prompts, recommended settings, a ComfyUI workflow, and preview images showing what the model can do. Buyers are paying for time savings, not just weights.

The most successful sellers offer a free standalone LoRA alongside a paid bundle. The free version drives discovery and reviews; the bundle captures buyers who want the full experience.

What to Include

• Adapter or model file — the trained weights in the appropriate format (safetensors, GGUF, pth)
• Preview images or samples — at least 5 high-quality outputs showing the model’s capabilities
• Trigger words and prompts — the activation keywords and example prompts that produce the best results
• Base model information — which base model and version the adapter was trained on
• Recommended settings — weight strength, sampler, steps, CFG scale for image models; temperature and top_p for LLMs
• Workflow file (bundles) — a ComfyUI workflow JSON or configuration that uses the model correctly

Quality Checklist

Before submitting, verify your model meets these quality standards:

• Test with at least 10 different prompts covering the model’s intended use cases
• For image LoRAs: test at weight strengths 0.5, 0.75, and 1.0 to document the usable range
• For image LoRAs: test with at least 3 different samplers (Euler, DPM++ 2M, DDIM)
• For LLM adapters: test with the base model’s default settings and your recommended settings
• Verify the model works with the base model version specified in your manifest
• Check that trigger words are unique and do not conflict with common vocabulary

Every model listing requires a manifest file that describes the model, its lineage, configuration, and content metadata. The manifest follows Thumper’s model manifest v2 schema.

# my-style-lora.model.yaml
schema_version: 2
id: my-studio/watercolor-dreams-v2
name: Watercolor Dreams v2
description: >
  Soft watercolor painting style with bleeding edges,
  visible paper texture, and muted color palettes.
  Trained on 200 original watercolor paintings.
kind: style-lora
version: "2.0"
 
lineage:
  base_model: stabilityai/stable-diffusion-xl-base-1.0
  base_model_version: "1.0"
  training_method: lora
  training_tool: kohya_ss
  training_steps: 3000
  training_resolution: 1024x1024
 
adapter_config:
  rank: 32
  alpha: 64
  target_modules: ["to_q", "to_k", "to_v", "to_out.0"]
 
trigger_words:
  - wcdreams
  - watercolor_dreams_style
 
weight_range:
  min: 0.4
  recommended: 0.75
  max: 1.0
 
stacking_config:
  stackable: true
  max_combined_weight: 1.5
  recommended_combined_weight: 1.0
 
original_content:
  declaration: true
  source: "Original watercolor paintings by Studio Name"
  license_holder: "Studio Name LLC"
 
files:
  - filename: watercolor-dreams-v2.safetensors
    sha256: a1b2c3d4e5f6...
    size_bytes: 151126016
 
tags:
  - watercolor
  - painting
  - style
  - sdxl

The manifest is validated automatically during submission. Missing required fields, invalid references, or schema violations are flagged before your listing goes to review.

Thumper supports several license types for model listings. Choose the one that matches your business model.

Pricing Guidance

The marketplace is young, so pricing norms are still forming. Here is what we observe from early sellers:

• Simple style LoRAs with minimal documentation sell at $3–$8
• High-quality LoRAs with previews, prompts, and weight guidance sell at $8–$15
• Bundles (LoRA + workflow + prompts + previews) command $15–$50
• LLM adapters for specific domains (legal, medical, coding) sell at $20–$50
• Voice clone models with licensing documentation sell at $25–$75

The submission process ensures quality and safety for all marketplace listings. Follow these steps to submit your model.

1. Create your model manifest YAML file following the schema above
2. Run the manifest validator locally: thumper manifest validate my-model.model.yaml
3. Prepare your preview assets: at least 5 sample outputs, a cover image (1200x630), and a description
4. Upload your model file and manifest through the Seller Dashboard in Settings
5. Fill in pricing, license type, and category during the upload flow
6. Submit for review — automated checks run immediately (file integrity, manifest validation, malware scan)
7. Manual review by the Thumper team verifies content policy compliance (1–3 business days)
8. Once approved, your listing goes live in the catalog and appears in search results

Automated Checks

Automated checks run within minutes of submission and verify:

• Manifest schema validity and required fields
• File integrity (SHA-256 matches manifest declaration)
• File format validation (correct safetensors/GGUF/pth headers)
• Malware scan (file-format sanity checks)
• Preview image dimensions and format requirements

Manual Review

Manual review typically takes 1–3 business days and covers content policy compliance, quality standards, and licensing verification. You receive email notification when your listing is approved or if changes are requested.

The Seller Dashboard provides metrics to help you understand your audience and optimize your listings.

Dashboard Metrics

• Downloads — total and per-listing download counts over time
• Revenue — gross sales, platform fees, and net payout amounts
• Ratings — average rating and individual reviews with text feedback
• Conversion rate — percentage of listing views that result in downloads or purchases
• Impressions — how often your listings appear in search results and category pages

Growth Tips

• Respond to reviews — sellers who reply to feedback see 40% higher repeat purchase rates
• Update for new base models — when a new SDXL or Llama version drops, retrain and update your listings
• Cross-promote — link related models in your descriptions (your style LoRA + your character LoRA)
• Create tutorials — a video or blog post showing your model in action drives 3–5x more traffic than the listing alone
• Bundle complementary models — a style LoRA + matching textual inversions + a ComfyUI workflow as a single purchase